243 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Nature Careers in Germany
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the pharmacology and physiology of ion channels using innovative chemical tools. We are dedicated to training PhD students in the field of chemical biology and supporting their development into skilled, independent
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We seek a highly motivated Computational Scientist (m/f/d) for Cancer Antigen Discovery to join our Computational Genomics unit. We are an interdisciplinary team of scientists, PhD students, and
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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
Evolution or Computational Biology (salary grade 13 TV-L, 100%) to commence on January 1, 2026. The position will initially be filled for three years. In case of a positive evaluation, the position can be
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, or biomolecular systems. The research program should connect to the wider Bonn science landscape and should facilitate close collaborations within the Department and the university’s Transdisciplinary Research
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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cutting-edge structural, computational and systems biology approaches, including combining high throughput perturbations (genetics and chemical) to multi-modal readouts (cellular and omics), to gain