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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core
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biology, biochemistry, nutritional sciences or another biological/medical field Expertise in chronobiology and circadian rhythms analysis Experience in general molecular and cell biology methods Experience
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of Biology and Physics, the Max Planck Institute for Polymer Research, the Max Planck Institute for Chemistry, the Institute for Molecular Biology, and the Mainz University Medical Center. Wilken Lab: Life
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presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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manuscripts Preparation of grant applications Providing guidance to junior researchers Your profile: A PhD degree (or comparable) and a strong background in biostatistics, epidemiology, biology, medicine
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC
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to 5 and more years. Requirements: • You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology