73 professor-computer "https:" "https:" "https:" "https:" "https:" "Keele University" scholarships at Nature Careers
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You apply through our recruitment system on 30 March 2026, at the latest (https://umu.varbi.com/en/what:job/jobID:905098/ ). The application, written in English, should include: A short (max 2 pages
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, which might include analysis and comparisons with the dynamics in tropical countries (VBD-mode, funded by BMFTR; https://clinicalepi.de/projects/vbd-mode.html) Collaborating closely with national and
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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are proud to work together in a truly integrating manner. Our partners, e.g. University of Hamburg, the Max Planck Institute for Meteorology or the German Climate Computing Centre are also hiring. All jobs
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
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Biotechnology (https://www.sciencedirect.com/science/article/abs/pii/S0958166923000770?via%3Dihub ). Your responsibilities: You will develop and investigate fermentation processes with heavily reduced CO2
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the Center for Pharmaceutical Data Science Education (CPDSE) and will be conducted under the supervision of Associate Professor Casper Steinmann . The project concerns physics-based computational modeling
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, microfabricated devices, 2D materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. For all topics, experience in
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research group led by Professor Morten Nielsen in close collaboration with the IEDB leader team at La Jolla Institute for Immunology (LJI), San Diego, California. Your main focus will be centered on further
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement