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research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and
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rigorous derivations, proofs, and analytical reasoning • Experience in mathematical modeling and the development or analysis of numerical methods for PDEs • Strong scientific programming skills in C/C++ and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
knowledge of R, Stata, Python, or other relevant programming language. We would be particularly interested in researchers working on topics that include (but are not limited to): The intersection of education
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot
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desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online data collection and
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of research achievements and publications in top-ranked journals. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming experience Python with good software
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questions. The advertised positions will be part of the project “QS-Gauge: quantum simulation of lattice gauge theories”, funded by the Emmy Noether programme of the DFG. The project’s overarching goal is the
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% international students in the MA program. The visual computing lab embraces its diverse culture, and is proud to host PhD students from over 10 different countries. Our lab language is English. The position is
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Scheer. The institute in Tübingen is a highly attractive workplace, with its departmental structure, flat hierarchies, well-established bachelor’s and master’s degree programs, and a workspace at