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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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position is a PhD in physics, computer science, statistics, or a related field. The candidate should: Be interested in statistical inference and methods, with a focus on the Bayesian approach. Possess solid
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connectivity related to (1) human subsistence and biodiversity; (2) inequality and conflict; (3) technology and environmental impact; (4) boundaries and well-being ROOTS will be housed in the ARCWorlds research
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functional and phenotypic assays on human T cells (in vitro and ex vivo) Engineer T cells using mRNA delivery platforms via lipid nanoparticles Characterize T cell subsets using multiparametric flow cytometry
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.02.2026
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, science and technology studies, ethics, or philosophy The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen offers several postdoc positions in our Norms
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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Master's degree in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, Data Science or a related field Strong mathematical and analytical skills for model formulation
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degree (Master or equivalent) in a relevant field (for PhD positions) or already holding a PhD (for Post-Doc positions) Passion for High Performance Computing and research Team spirit and readiness
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connectivity related to (1) human subsistence and biodiversity; (2) inequality and conflict; (3) technology and environmental impact; (4) boundaries and well-being ROOTS will be housed in the ARCWorlds research