15 programming-"https:"-"https:"-"https:"-"CSIC" Postdoctoral positions at Technical University of Munich
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12.08.2026, Academic staff The newly established Fundamentals of Programming Group at the Technical University of Munich (TUM) invites applications for - PhD students - Postdoctoral researchers Our
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for clinical optoacoustic imaging. Contribute to internationally visible research programs funded by the European Union and the German Government. Collaborate closely with clinical partners and an innovative
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), with the autonomy to shape a high-visibility research program. HOW TO APPLY Please submit a single PDF containing: a cover letter stating your motivation, research vision, and prior experience in VR
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completion) in political science, economics, sociology, or a related social science discipline Excellent knowledge of quantitative research methods and statistics Excellent programming skills in R (or a
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strong programming skills, particularly in Python, are essential. Experience in timber engineering, geometry processing, and robotic fabrication is highly desirable. Excellent written and spoken English
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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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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