16 computer-science-intern "https:" "https:" "https:" Postdoctoral positions at Technical University of Munich in Germany
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/11250664 https://www.jmlr.org/papers/v26/25-1161.html Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in engineering, computer science, or related disciplines (typically
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Methods, LBM), and HPC. For a selection of possible research areas, see: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/ Responsibilities: Development and analysis of new
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System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely involved in the Schmidt Sciences project MountAInWater, coordinated by the Institute for Science and Technology
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doctorate in anthropology, sociology, STS, or a related social science discipline, and experience in conducting and publishing research at an international level. Candidates in the final stages of completing
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qualifications: • A completed Master’s degree (or equivalent) in a relevant discipline, such as philosophy, neuroscience, psychology, medicine, law, social sciences, computer science, or a related field • Strong
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science, and computational imaging. • Access to state-of-the-art HSI and spectroscopic instrumentation (HySpex VNIR/SWIR systems, Macro-XRF, Raman, FTIR, etc.). • Active participation in international in
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the possibility of extension, depending on performance and project needs. Qualifications • For Doctoral Candidates: Master’s degree in Computer Science or Mathematics. • For Postdoctoral Researchers: Ph.D. in
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/1696192/aab7jokzk7x4paq7m2y9pa2p6.Wetzlinger-2022-NAHS.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines
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applying computer science methods within the context described above. In particular, you will coordinate the contributions of the professorship to the EU project INTELLIGENT (https://intelligent-project.eu
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://application.vc.in.tum.de/ TUM and VC & AI Lab: The Technical University’s computer science department is the Top-1 ranked computer science department in Germany. Our culture is highly international with over 50