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system) in computer science or another relevant discipline. A proven scientific focus on Artificial Intelligence (AI) & Machine Learning (ML). Experience with data analysis using ML or AI methods
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candidate will join an exciting research program exploring a newly emerging paradigm in immunology: mitochondrial transfer and synthetic organelle therapy. Using newly developed genetically engineered mouse
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'Physics of Life' of the Technical University Dresden. Besides an excellent research infrastructure, the institute provides a stimulating environment due to an active in‑house workshop program and a large
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qualifications: University degree (PhD, M.D., or equivalent) in biology, life sciences, or biomedicine Strong motivation and a genuine interest in stem cell biology, hematopoiesis, and immunobiology At least basic
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combines cutting-edge computational techniques with traditional social science methods and we are equally interested in methodological innovation and in the broader consequences of automation for democratic
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experimental and theoretical groups with complementary expertise in model organism genetics and cellular phenotyping, single-cell genomics, statistics, and computational biology. Building on our combined
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) and present your work at top conferences and journals in our field. Candidates should have completed their Master/Diploma studies in Computer Science, Mathematics, Mechatronics, Electrical Engineering
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
candidates who have, or will soon obtain, a PhD in demography, sociology, epidemiology, medicine, health economics, biostatistics, public health, or a related field. The successful candidate is expected
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Your Profile: Basic qualifications: Completed Master’s degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience with neutron spectroscopy (e.g. INS, QENS, NSE
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Service) applications Support the C3S Agriculture Micro-site and Mediterranean Demonstrator with agronomic insights and data Your qualifications: PhD in crop science, computational environmental science, or