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Wissenschaftlicher Mitarbeiter (w/m) im Bereich Bioinformatik [ Westfälische Wilhelms-Universität]

Wir suchen:

Im Rahmen der DFG-geförderten klinischen Forschergruppe "Male Germ Cells" am Institut für Medizinische Informatik der Westfälischen Wilhelms-Universität (Direktor: Prof. Dr. Martin Dugas) zum nächstmöglichen Zeitpunkt zunächst befristet auf 3 Jahre mit der Möglichkeit der Verlängerung einen

Wissenschaftlicher Mitarbeiter (w/m) im Bereich Bioinformatik
Kennziffer 13957

vollzeitbeschäftigt mit 38,5 Wochenstunden
Verg.  je nach Qualifikation und Aufgabenübertragung bis zu TV-L E 14

In dem Teilprojekt „Male Germ Cells: from Genes to Function“ beschäftigen sich Wissenschaftler aus sieben verschiedenen Kliniken und Einrichtungen der Universität Münster mit den Ursachen zur Infertilität des Mannes. Ziel ist es, die Zahl der Männer ohne Diagnose für ihre Unfruchtbarkeit zu halbieren.
In Zusammenarbeit mit dem Institut für Humangenetik (Prof. Dr. Frank Tüttelmann) sollen mit Hilfe bioinformatischer Methoden genetische Unterschiede und deren Auswirkungen auf die Zeugungsfähigkeit untersucht werden. Ein Workflow zur integrierten Analyse von OMICs-Daten soll implementiert werden. Weitere Informationen zum Projekt sind zu finden unter: http://male-germ-cells.de

Ihr Profil:

    Abgeschlossenes Hochschulstudium der Bioinformatik, Medizinischen Informatik, Mathematik oder Statistik
    Interesse für Auswertung genomischer Daten
    Idealerweise Erfahrung mit „Next Generation Sequencing Data“-Analysen
    Sehr gute Programmierkenntnisse in mind. einer Sprache (R und/oder Java)
    Sehr gute Englischkenntnisse
    Verantwortungsbewusstes, kollegiales und ergebnisorientiertes Arbeiten
    Hohe Motivation und Leistungsbereitschaft

Wir bieten Ihnen einen attraktiven, anspruchsvollen Arbeitsplatz in einem aufgeschlossenen, interdisziplinären Team sowie eine sehr gute Arbeitsatmosphäre. Bei Vorliegen der entsprechenden Voraussetzungen besteht die Möglichkeit zur Promotion bzw. Habilitation.

Weitere Informationen zum Institut für Medizinische Informatik (IMI) finden Sie unter:
http://imi.uni-muenster.de.

Bei Rückfragen wenden Sie sich bitte an:
Herrn Prof. Martin Dugas, Tel.: 0251 83-55261 (martin.dugas(at)­ukmuenster(dot)­de) oder an Herrn Prof. Frank Tüttelmann, Tel.: 0251 83-55411 (frank.tuettelmann(at)­ukmuenster(dot)­de).

Wir freuen uns auf Ihre Bewerbung und bitten Sie, diese unter Angabe der Kennziffer bis zum 30.11.2017 an die Verwaltung des Universitätsklinikums Münster, Albert-Schweitzer-Campus 1, Gebäude D5, 48149 Münster oder bewerbung(at)­ukmuenster(dot)­de zu senden.

Das UKM unterstützt die Vereinbarkeit von Beruf und Familie und ist daher seit 2010 als familienbewusstes Unternehmen zertifiziert. Es besteht grundsätzlich die Möglichkeit der Teilzeitbeschäftigung. Die Bewerbung von Frauen wird begrüßt; im Rahmen der gesetzlichen Vorschriften werden Frauen bevorzugt eingestellt. Schwerbehinderte werden bei gleicher Eignung besonders berücksichtigt.

Links http://klinikum.uni-muenster.de/index.php?id=3290&tx_ttnews%5Btt_news%5D=7738&cHash=78948aaae8ef8a81fd82bab6928cdd47

PhD Position in Bioinformatics/Biostatistics, Institute of Clinical Molecular Biology (IKMB), Christian Albrechts University, (CAU) in Kiel, Germany

The University Medical Center Schleswig-Holstein is one of the largest university hospitals in Europe with more than 80
clinics and institutes. We provide top research at the interface of medicine, science and technology and maintain research
co-operations with universities all over the world. The research focus of the Institute of Clinical Molecular Biology (IKMB) is on the identification of genetic factors and
mechanisms in complex inflammatory diseases, using high-throughput technologies and state-of-the-art computational
methods. The IKMB at the Christian Albrechts University in Kiel is home to three senior research groups as well as four junior groups and over 120
employees.

We are seeking competent support to strengthen our team in Kiel, ideally starting from 1 November 2017 or later. The initial
contract is limited to two years with the possibility of extension. The position to be filled is funded by the BMBF (German
Federal Ministry of Education and Research) systems medicine network “GB-XMAP: A systems methodology to assess the risk
of gut-brain cross diseases by characterizing expressional changes”.

What you can expect:
You will primarily evaluate existing machine learning techniques for the analysis of high-dimensional genomic data and will
conduct scientific studies for inflammatory barrier diseases such as ulcerative colitis, based on state-of-the-art next generation
sequencing and array data.

What we expect:
We are seeking a highly motivated and qualified candidate (m/f) with an academic degree (master’s degree or diploma) in
(bio-)informatics, (bio-)statistics, molecular biology or related areas, pronounced analytical and theoretical abilities and solid
knowledge of programming (R and/or Python/Perl/C++). Experience in bioinformatics/biological information processing or
molecular biology is advantageous. You should enjoy working on research questions as part of a team. As you will work in an
international environment, strong communication skills in English both spoken and written are also necessary.

What we offer:
You will join an exciting multidisciplinary research environment with various opportunities to be part of the national and
international scientific community. Doctoral students (m/f) are encouraged to attend international conferences and visit
cooperation partners. We offer flexible working hours and various opportunities to reconcile work and family life.
Salary will be, depending on qualifications, according to the German salary scale 13 TV-L (65%).
The UKSH has been certified as a family-friendly institution and is committed to further improve the compatibility of work
and family life. The University Medical Center Schleswig-Holstein is an equal opportunity employer. People with disabilities will
be given preference in case of equal qualifications.

Does that sound interesting?
For more details on the position, please contact Prof. Dr. David Ellinghaus (phone: +49-431-500-15131). Questions on administrative
aspects can be addressed to Jana Gisdepski (phone: +49-451-500-11192). More information on the University Medical
Center Schleswig-Holstein and the Institute of Clinical Molecular Biology (IKMB) can be obtained online at www.uksh.de/
karriere and www.ikmb.uni-kiel.de.

We are looking forward to your application. Please submit your application until 30 November 2017, indicating your earliest
possible starting date as well as the reference number 20170890, via our online portal:
www.uksh.de/Bewerbung.html?nr=20170890

15 PhD positions available in the Marie Skłodowska-Curie European Training Network EpiDiverse

EpiDiverse - Epigenetic Diversity in Ecology - is a Marie Skłodowska-Curie Innovative Training Network aimed at the study of epigenetic variation in wild plant species. This network joins academic groups from ecology, molecular (epi)genetics and bioinformatics with life science companies to explore epigenetic mechanisms and their adaptive relevance in natural plant populations.

The cross-disciplinary research program investigates how epigenetic mechanisms, in interaction with environments and transposable elements, contribute to variation that is relevant for the adaptive capacity of plants. By applying epigenomic research tools to a selection of different wild plants (including long-lived trees, annual and asexually reproducing species) we investigate how epigenetic mechanisms as well as their ecological relevance differs between plant species. Understanding the epigenetic contribution to adaptive capacity will help to predict species responses to global warming and can open new directions for sustainable agriculture and crop breeding.

The EpiDiverse consortium will train 15 Early Stage Researchers to become expert eco-epigeneticists, equipping them with the interdisciplinary skills - molecular, (epi)genomic, ecological and bioinformatics - to successfully tackle this new research area. EpiDiverse training will emphasize empirical and informatics skills to become fluent and creative in extracting knowledge from big ‘omics data in natural contexts.

EpiDiverse is funded by the EU Horizon 2020 programme and involves 12 partners from academia, non-profit organizations and industry located in the Netherlands, Germany, France, Spain, Czech Republic, Italy and Austria.


EpiDiverse Projects:

RP01: De novo assembly and functional annotation of the genome of Populus nigra
PhD Supervisor(s): Michele Morgante, Emanuele De Paoli, Federica Cattonaro

RP02: The role of repetitive DNA and genome structural variation in mediating environment-epigenome interactions in Populus nigra
PhD Supervisor(s): Michele Morgante, Emanuele De Paoli, Federica Cattonaro

RP03: Inferring genomic information from bisulfite sequencing data populations
PhD Supervisor(s): David Langenberger, Peter Stadler

RP04: Integration of DNA methylation, genetic patterns, and functional annotation in non-model species
PhD Supervisor(s): Ivo Grosse, Carolin Delker, Peter Stadler

RP05: Epigenome-wide association studies
PhD Supervisor(s): Stefan Rensing & Noe Fernandez-Pozo

RP06: Natural DNA methylation variation in Fragaria vesca populations along climatological gradient
PhD Supervisor(s): Vítek Latzel, Zuzana Münzbergová

RP07: Natural DNA methylation variation in European Thlaspi arvensepopulations
PhD Supervisor(s): Oliver Bossdorf, Niek Scheepens

RP08: Natural DNA methylation variation in clonal and outcrossing European Populus nigra
PhD Supervisor(s): Lars Opgenoorth & Katrin Heer

RP09: Life history effects on epigenetic inheritance
Supervisor(s): Koen Verhoeven & Wim van der Putten

RP10: Uncovering the epigenetic component of plant-herbivore interactions
PhD Supervisor(s): Conchita Alonso & Mónica Medrano

RP11: Heritable stress-induced genetic and epigenetic changes in Strawberry
Supervisor(s): Etienne Bucher, Béatrice Denoyes

RP12: Epigenetic response to stress in natural variants of pennycress (Thlaspi arvense)
PhD Supervisor(s): Claude Becker, Ortrun Mittelsten Scheid

RP13: Epigenetic contribution to phenotypic plasticity in Populus nigra
Supervisor(s): Koen Verhoeven & Wim van der Putten

RP14: Transgenerational epigenetic effects: role of small RNAs
PhD Supervisor(s): Detlef Weigel & Anjar Wibowo

RP15: Investigating the plant mobilome responsiveness under stress
PhD Supervisor(s): Marie Mirouze & Alain Ghesquière

Please find more information and apply on:
www.EpiDiverse.eu

Open PhD position at ecSeq Bioinformatics: Inferring genomic information from bisulfite sequencing data

Background
DNA methylation variants can arise spontaneously, they can be under genetic control or they can be induced by the environment. In plants, some DNA methylation variants are stable across many generations whereas other variants are very transient. A good understanding of the transgenerational dynamics of DNA methylation variants is essential to understand their impact on heritable traits and their effect on adaptation. Current insight in the transgenerational dynamics of DNA methylation is limited to very few model plant species, but it is predicted that these dynamics are not constant among different plants. For instance, plant reproduction mode can have a large effect because asexual reproduction bypasses some of the epigenetic resetting mechanisms that normally occur during sexual reproduction. Adaptive differences in transgenerational stability may also differ between species with different life spans or from habitats of different environmental predictability.

Your PhD Project
In this project, we aim to investigate differences in DNA methylation dynamics between species with different life history traits. In close collaboration with other bioinformaticians and biologists, a best-practice pipeline for the analysis of plant bisulfite data will be developed, benchmarked, and provided to be applied to the Next-Generation Sequencing (NGS) data generated in the frame of different EpiDiverse projects. In addition, novel algorithms will be devised and implemented to better detect DNA methylation variants and search for important methylation haplotypes to better understand the epigenetic regulation. The special constellation of working at a bioinformatics company in very strong cooperation with the chair of bioinformatics at the university offers the unique possibility of gaining benefits from both: The clearly structured style of the work in a company will help implementing novel ideas from academia in the light of recent publications, resulting in a strong focus and high productivity.

Your Qualifications
We seek a bright, highly motivated, and enthusiastic bioinformatician, or computer scientist with significant interest in solving biologically motivated questions. Excellent programming skills with knowledge of at least one of the following programming languages are mandatory: Python, R, or C/C++/C#. A strong background in Next-Generation Sequencing (NGS) and/or (epi)genetics data analyses are an advantage. A high standard of spoken and written English is required, as are good quantitative and analytical capabilities, excellent interpersonal and communication skills, and the ability to work independently as well as part of a team.

If interested, please visit http://www.ecseq.com/blog/2017/Open-PhD-Position

 

POSTDOC position at New England Biolabs (NEB) in experimental and Computational Biology

NEB-research has an opening for a highly motivated Postdoctoral Associate in experimental and Computational Biology. The major topic of the team is to bridge the large enzyme discovery and optimization efforts with the latest massive parallel sequencing technologies. With the central aim to develop innovative large scale applications, the team research involves the elaboration of both experimental methodologies and data analysis strategies inherent to such applications. The outcomes of these efforts are twofold: first, the perspective of a major leap into existing or novel technologies and second, the unique abilities to address biological questions

Your primary focus will be on developing screening technologies to uniquely identify and sequence organisms harboring non-canonical nucleotides in microbiomes. Indeed, a number of microorganisms notably phages have been using non-canonical nucleotides in their genomes to evade the bacteria immune system. The discovery of such organisms has been seldom and so far no systematic investigation of the number of organisms with modified DNA nor the nature of such modifications has been conducted on a microbiome.  This study will provide information on the prevalence and pathways involved. You will be working both on the experimental and analysis front of the project.

Skills & Experience
• Ph.D. or equivalent in Computational biology, molecular biology, biochemistry or related field.
• Expertise in large scale data analysis and programming. Expertise in microbiome studies is a plus.
• Expertise in working with nucleotides and nucleic acid.
• Collaborative minded.
• Good interdisciplinary communication skills.

If interested, please contact Dr. Laurence Ettwiller : This email address is being protected from spambots. You need JavaScript enabled to view it.

Research Associate, Center for Bioinformatics, UHH

Universität Hamburg invites applications for a Research Associate in accordance with Section
28 subsection 1 of the Hamburg Higher Education Act (Hamburgisches Hochschulgesetz,
HmbHG). The position commences on January 1st, 2018.


It is remunerated at the salary level TV-L 13 and calls for 50% of standard work hours per week.*
The fixed-term nature of this contract is based upon Section 2 of the Academic Fixed-Term Labor
Contract Act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The initial fixed term is three
years.


The University aims to increase the number of women in research and teaching and explicitly
encourages qualified women to apply. Equally qualified female applicants will receive preference
in accordance with the Hamburg Equality Act (Hamburgisches Gleichstellungsgesetz,
HmbGleiG).


Responsibilities:
Associates will be expected primarily to conduct research and teach. The associate will have the
opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At
least one-third of set working hours will be made available for the associate's own academic
work.


Specific Duties:
The Research Associate will actively support the research and teaching activities of the Center
for Bioinformatics (ZBH) in close conjunction with the University's Master Programme in
Bioinformatics. Research activities will be focusing on the development and application of
methods in cheminformatics and computer-aided molecular design. Research Associates will
teach an equivalent of two hours (2 SWS) per week during term time.


Requirements:
We are looking for highly-motivated individuals aiming to obtain a PhD degree at the interface
of the life sciences and informatics. Candidates should have a Diploma or Master's degree in:


• bioinformatics
• cheminformatics
• informatics with a life science background
• chemistry with a focus on physical/theoretical or organic chemistry
* Full-time positions currently comprise 39 hours per week.
• biology/structural biology or
• similar qualifications.


Knowledge in the area of chemical biology/organic chemistry/structural biology is a
requirement. Knowledge of Python, Java, R or other programming languages as well as
machine learning are beneficial. The Research Associate will participate in various national and
international research projects, and good communication skills in English are therefore
expected. Good communication skills in German are beneficial.


Severely disabled applicants will receive preference over equally qualified non-disabled applicants.


For further information, please contact Prof. Johannes Kirchmair or consult our website at
www.zbh.uni-hamburg.de/acm.


Applications should include a cover letter, curriculum vitae, and copies of degree certificate(s).
The application deadline is 15.11.2017. Please send applications to: This email address is being protected from spambots. You need JavaScript enabled to view it..
de.

Bioinformatics / Computational Biology Staff, ETH Zurich

The Institute of Microbiology at ETH Zurich is seeking a highly qualified and experienced staff bioinformatician / computational biologist who is motivated to support and stimulate collaborative work between its members.

The institute is composed of interdisciplinary research groups that work under the unifying theme of microbial interactions. We study host-microbe and microbiome interactions in diverse systems at all scales of biological organization including the ocean, humans, mice, plants, sponges, and fungi. By developing and applying cutting-edge technology in the area of next generation sequencing, mass spectrometry, imaging, multi-parameter flow cytometry and single-cell approaches, our institute provides a unique opportunity for data-integrative research and collaborations.

More detailed information can be found at: http://www.micro.biol.ethz.ch/.

The motivation of the candidate is to provide strong support for ongoing research projects, and to foster bioinformatic skills among the institute’s students and research staff. The candidate has excellent organisational skills and is able to effectively communicate results to individuals with diverse scientific backgrounds.
The post holder will be embedded in the Microbiome Research group at the Institute of Microbiology providing an environment of complementary expertise and infrastructure for high-performance computational analysis.

Essential qualifications include:
-    postgraduate degree in bioinformatics or related field
-    excellent communication, teamwork and organisational skills
-    excellent skills biological / statistical data analysis (including machine learning)
-    experience in NGS data analysis: (meta)genomics, (meta)transcriptomics
-    advanced programming skills (e.g., Python/Perl, R, UNIX/bash scripting)

The following additional qualifications will be advantageous:
-    background in population genetics / microbial ecology / phylogenetics
-    experience in analysis of antibody sequence libraries (Ig-seq)
-    experience in image data analysis
-    experience in metabolomics/proteomics data analysis
-    experience in web/database development (HTML, PHP, JavaScript, CSS, SQL)

Notes:
Applications will be considered until 31/12/2017 and reviewed on an on-going basis. Therefore, the post may be filled before the deadline. Informal inquiries should be directed by email to Prof. Dr. Shinichi Sunagawa (This email address is being protected from spambots. You need JavaScript enabled to view it.).


Links:
https://www.ethz.ch/content/dam/ethz/special-interest/biol/micro-biol/inst-of-microbiology-dam/documents/positions/SS%20Open%20Positions/Staff_Bioinf_position.pdf

Scientific staff for newly founded institute: PhDs/PostDocs/CoreUnitLeader

The newly founded Institute for Genomic Statistics and Bioinformatics (IGSB, www.igsb.uni-bonn.de) at the University of Bonn, Germany, is seeking for outstanding scientific staff (PhD candidates/postdocs/CoreUnitGroupLeader).
The goal of the IGSB is to improve health care by applying artificial intelligence in the analysis of biomedical data. We design, implement and evaluate methods and tools that leverage the knowledge and cognitive skills of investigators in order to enable the interpretation of massively heterogeneous data sets that integrate genomic and clinical information.
All of our research projects are highly interdisciplinary and are being conducted in close cooperation with computational or experimental domain experts providing an excellent opportunity for collaborative research.
Our institute is situated on Venusberg, the Campus of the Medical School Bonn and is part of a vibrant community of scientists, physicians, and engineers, whose goal is to advance the boundaries of knowledge. The institute has recently been founded to lead development of computational and informatics techniques to address pertinent challenges in modern biological sciences and medicine. PhD candidates will be enrolled in the Bonn International Graduate School, BIGS.

DESIRED SKILLS AND EXPERIENCE
Responsibilities of postdocs
The postdoctoral fellows will be responsible for applying novel methodologies to analyze biomedical big data sets, including genomic and imaging data. There is a focus on collaborative projects with other research institutes such as the Departments of Human Genetics and Immunology, or the DZNE. Other responsibilities include day-to-day project management, including coordination with collaborators and other team members, as well as the writing of manuscripts. Contribution to the grant writing efforts of the lab are expected.
Basic Requirements
Postdoc Candidates must have a PhD degree in a quantitative field such as bioinformatics, computer science, physics, or related fields and a track-record of publication in the top journals or conferences of their field. Hands-on experience with management, analysis, and visualization of biomedical data is required for this position. Excellent programming skills and working knowledge of state-of-the-art software development techniques are essential. The candidates interested in these positions must be highly motivated, willing to learn and demonstrate initiative in assigned tasks. Excellent written and verbal communication skills are crucial.

Responsibilities of group leader "Core Unit Bioinformatics Data Analysis" (CUBA)
This CUBA group leader will head a team of three bioinformaticians (in the beginning) and manage projects in a highly collaborative environment. The position will directly interface with faculty and investigators within the Medical Campus Bonn. CUBA has a particular focus on analysis of medium size -omics projects including NGS, FACS and proteomics data.

Basic Requirements
PhD and a minimum of 3 years post-graduate high-level experience in bioinformatics, computational biology, or statistical genetics in industry or academia and demonstrated skill in working within collaborative groups.

ABOUT THE EMPLOYER
The Institute for Genomic Statistics and Bioinformatics has been founded in September 2017 to deepen our understanding of genome biology and advancing personalized medicine. IGSB an entity of University Bonn, one of the eminent research universities in Germany with an excellent international reputation. Since 2006, it has been successful in gaining funding through the Excellence Initiative set out by the federal government and state and the DFG (Deutsche Forschungsgemeinschaft), acquiring two Clusters of Excellence and two Graduate Schools ( Hausdorf Center for Mathematics and Immunosensation).

HOW TO APPLY
Candidates should submit their CV, a research statement, PDFs of their three best papers, and contact information for three regerences to pkrawitz at uni-bonn.de with [PDH], [PostDoc], or [CUBA] in the subject.

Research Assistant / PostDoc [Uni Marburg, Project Group of Dr. Sobetzko]

The Project Group of Dr. Sobetzko, which is part of the Department of Chromosome Biology, Prof. Dr. Torsten Waldminghaus, is seeking for a

Research Assistant.

The full time position, limited to 2 years, is operated by the DFG-funded project „DNA from the coding perspective“. Salary and benefits are according to a public service position in Germany (TV-H E13). Further extension of the contract is possible and depends on a successful application for extension of the project. It can therefore not be garateed.

Gene regulation is the central element to concert complex cellular mechanisms of a living cell. In this project, we want to apply RNA-seq and DNA-seq data to investigate the role of DNA sequence composition in organizing regulatory networks and physical information transfer by gene neighborhood relations. We will develop comparative genomics approaches to tackle these questions. Furthermore, we will monitor the evolution of the regulatory system in strains with network defects for about 20,000 generations using DNA- and RNA-seq. At our graduate school the candidate will be trained to professionally present results and hypotheses within SYNMIKRO and on international conferences and workshops.
In the frame of this third party founded project the opportunity for scientific work is given. The results are available outside for further application.

The limitation of the contract complies to § 2 Abs. 2 WissZeitVG.The successful candidate must hold a MSc, Diploma, PhD or a related qualification in Bioinformatics. Further, the candidate should demonstrate an outstanding scientific record and should be trained in at least one computer language (e.g. Java or Python). Theoretical knowledge in analyzing transcriptomics data and practical experience in statistical analysis using R or MatLab are essential. Theoretical knowledge in the disciplines of microbiology and genetics are welcome.
For informal project enquiries don’t hesitate to contact Dr. Sobetzko via This email address is being protected from spambots. You need JavaScript enabled to view it..

Scientist (m/f) "(Bio-)Informatics / cloud computing" [Bochum]

The Department Bioinformatics of the Medizinisches Proteom-Center
offers a job position for a scientist (m/f) in the field "(Bio-)Informatics / cloud computing".

Activities:
•    Adoption / further development of scientific analysis software in the field ‚Bioinformatics for Proteomics‘ for the usage in cloud infrastructures (e. g. de.NBI-cloud)
•    Support in the establishment of scientific cloud infrastructures (e. g. authentication and authorization infrastructure service, resource distribution / governance)
•    Technical support of scientists in applying analysis software in the cloud

Job profile:
You have knowledge and / or experience in the following fields of Computer Science / Bioinformatics:
•    Administration of Linux operating systems, Linux script-programming
•    OpenStack
•    Distributed computing and Virtualisation

Preferable are knowledge and interest in:
•    Administration of Windows operating systems
•    authentication and authorization infrastructure systems
•    Bioinformatics of Proteomics
•    Bioinformatics algorithms / analysis software for high-throughput- / Omics data
•    Object oriented programming (e. g. Java, C++)

Details can be found here (in German):
https://www.stellenwerk-bochum.de/jobboerse/wissenschaftl-mitarbeiterin-bio-informatikerin-bio-informatiker-bo-2017-09-08-139523 
http://tinyurl.com/yc27nlfv