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Helmholtz-Zentrum für Infektionsforschung | Braunschweig, Niedersachsen | Germany | about 7 hours ago
Deadline 19 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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About Us In a nutshell Institutions & Location Glossary Research Scientific Orientation BIOLOGY CHEMISTRY & BIOCHEMISTRY MOLECULAR CONDENSATES BIOLOGICAL PHYSICS MATHS, COMPUTATION & AI Research
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/Qualifications Interest in mathematical analysis of approximation algorithms. Preferably practical experience in programming (not mandatory) Interest in teaching in our Data Science program (experience desired
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experimental soft matter research a supportive and enthusiastic atmosphere in-depth training in interdisciplinary soft matter science individual supervision and mentoring a PhD student mobility program with
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: The PhD project is methodologically independent, with
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: FS-LA-LA2 Area of research: Scientific / postdoctoral posts Starting date
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep
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positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our
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of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. Our community IMPRS-ML brings together two renowned Max Planck Institutes, the Max Planck Institute
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skills in computational molecular (bio)physics, structural biology and scientific computing, as well as a keen interest in interdisciplinary research and collaboration with experimental groups. PhD