197 fully-funded-phd-program-computer-science-eth Postdoctoral research jobs in Germany
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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possibilities for career development and networking A broad range of gender equality measures An educational programme The opportunity to apply for pilot project funding For inquiries, please contact: Dr. Nina
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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02.07.2025, Wissenschaftliches Personal The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc (f/m/d) in Energy Informatics. You are
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interest and motivation for the position (limited to 2000 characters), The email addresses of 2–3 references who can provide a letter of recommendation. For more details about the program (including further
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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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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Apply now to join Boehringer Ingelheim as part of the prestigious PostDoc grant program opn2TALENTS and have the chance to pursue your own submitted research project as a fully resourced two-years
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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Immunology and Computational Biology Reference number: 2025-0105 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study