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, or machine learning is also appreciated. PhD: The candidate is expected to have some background in theoretical computer science, including some of the following areas: automata, logic, games, verification
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://application.vc.in.tum.de/ TUM and VC & AI Lab: The Technical University’s computer science department is the Top-1 ranked computer science department in Germany. Our culture is highly international with over 50
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fields Interest in immunology, systems biology and translational research Strong interest in mass spectrometry-based proteomics (prior experience advantageous) Proficiency in computational data analysis
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 29 days ago
hands on experience in optics is preferred. Prior experience in development/extension of optical instrument and/or surface chemistry is desired.) Cryo-electron microscopy-based structural analysis of SMC
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for Mass-Spectrometry Imaging / Spatial Metabolomics (f/m/d) This position is funded by the MULTI-SPACE alliance of the Health & Life Science Alliance Heidelberg & Mannheim, supporting a joint Mass
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 1 month ago
high-impact scientific journals Essential skills and qualifications MSc and/or PhD qualifications in Chemistry, Physics, Materials Science, Computational Science, Engineering or a closely related field
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23.07.2025, Wissenschaftliches Personal The Ecosystem Dynamics Group at the TUM School of Life Sciences, Technical University of Munich studies how ecosystems change in time and space. We quantify
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available in the further tabs (e.g. “Application requirements”). Programme Description The Pre-Doc Award offers postdocs and those interested in a doctorate with a very good degree the opportunity to jointly
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within an interdisciplinary research team Your Qualifications: University degree (PhD, M.D., or equivalent) in Biology, Life Sciences, or Biomedicine Strong motivation and a genuine interest in stem cell
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq