31 parallel-and-distributed-computing-"UNIS" PhD scholarships at Nature Careers in Germany
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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Immunology and Computational Biology Reference number: 2025-0104 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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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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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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(maria.manez@hereon.de) and Prof. Uwe Schneider (uwe.schneider@uni-hamburg.de). We offer #an exciting and varied job in a research centre with around 1,000 employees from more than 60 nations #you will benefit
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. Martina Neuburger (martina.neuburger@uni-hamburg.de). We offer #an exciting and varied job in a research centre with around 1,000 employees from more than 60 nations #you will benefit from comprehensive
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
. Jo-Ting Huang-Lachmann (jo-ting.huang-lachmann@hereon.de) and Dr. Benjamin Poschlod (benjamin.poschlod@uni-hamburg.de). We offer #an exciting and varied job in a research centre with around 1,000
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH (AMO ) in Aachen, Forschungszentrum Jülich (FZJ ), Max Planck
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry