For a project in crystallographic data analysis and methods development,
the Thorn Laboratory at the University of Würzburg, Germany, is looking
for a


to uncover pitfalls in the measurement and processing of XFEL, neutron
and conventional single-crystal diffraction data. She or he will develop
new diagnostics in AUSPEX ( using machine learning,
practical experiments and statistical analysis and establish new best
practices with major European diffraction facilities. We are looking for
someone with a good working knowledge of statistical analysis, Python
and C++ who is an excellent communicator and likes to travel. Previous
experience in crystallography and machine learning is a bonus.
We offer a position at the University of Würzburg, the birthplace of
X-rays, with a competitive salary, benefit package, career and family
support. Women are particularly encouraged to apply.

For more details, see:

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