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are continuously exposed to a complex mixture of chemicals from diet, lifestyle, pharmaceuticals, and environmental pollution. To understand how these exposures affect health, non-targeted analysis (NTA) by mass
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ideally includes past or present projects centered on machine learning analysis of chemical or biochemical data, especially relating to structural biology. Ample experience with Python programming is
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productivity. Priority will be given to candidates who have co-authored at least one scientific publication (submitted or accepted). Experience with population genetics, comparative genomics and/or the analysis
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population genetics, comparative genomics and/or the analysis of genomic data using bioinformatics protocols is advantageous. Additional Information Benefits • 5 weeks of paid holiday yearly, subsidized
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-electron microscopy and data analysis Good communication and interpersonal skills Motivation and a collaborative mindset What we provide to you: Open access to CEITEC MU core facilities with state-of-the-art
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-to-have: Work experience in simulations with proteins/membranes and their analysis Good communication and interpersonal skills Motivation and a collaborative mindset What we provide to you: Open access