PhD student position (TVH-E13 65%) in Bioinformatics [University of Marburg and the University of Giessen]
- Veröffentlicht: Montag, 07. Oktober 2019 10:33
The candidate will be responsible for the development of bioinformatics software, novel algorithms, and visualizations to depict the effect of weighing in reading frame and genomic patterns in the de-coding of information stored in biological molecules or chemical compounds. The desired end result is to visualize the qualitative and quantitative improvement of decoding when using different encod-ing/decoding strategies. The successful candidate will examine possible patterns that range from naturally occurring sequences to repeats, or functional patterns (secondary structure), and define successful strategies of encoding/decoding. In turn, these may be used as quality control checks once PCR amplification and sequencing have been completed. A foundational aspect of this project is the creation of adapted representations and algorithms to account for different encoding/decoding strategies. Her/His efforts include but are not limited to developing novel algorithms, implementing a visualization framework, and maintaining a documentation and a code base to benefit both the com-munity and the research project.
In the research project MOSLA, the University of Marburg and the University of Giessen will jointly develop novel approaches and solutions for long-time archives based on molecular and chemical stor-age systems. Besides the technical solutions of data storage, they will also research in (de-)coding of information for long-time storage, which will be achieved by a combination of genetic and chemical information encoding. The project is funded by the Hessian Ministry for Science and Arts.