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(cooperation with R programmer) modelling impact on soil ecosystem services in various real use cases and different scenarios. (several SOILPROM case studies in different countries focusing on different
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studies. Experience with protein structure predictions methods and co-folding methods (i.e. AlphaFold or Boltz models). Strong software development skills in Python, including software package development
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and computational workflows for chemical exposomics and metabolomics, with a strong emphasis on creating and maintaining open-source software and training resources. Scientific Context Humans
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seeking opportunities for research funding and submitting grant applications. Supporting students in their scientific training, especially in the form of professional supervision. The content
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and personal development, e.g., language and other courses provided by MU, use of MU libraries, use of placements and mobilities abroad, participation in conferences, etc. HOW TO APPLY Please send your