265 computer-science-image-processing-"University-of-Iowa" Postdoctoral positions in Germany
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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, informatics, computational sciences); at least two years working experience in the computational analysis of imaging, omics, or clinical data; strong proficiency with machine learning and statistics; strong
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efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation
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» Computer engineering Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Country Germany Application Deadline 30 Sep 2025 - 23:59
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basic research. At 84 Max Planck Institutes, more than 26,000 employees conduct basic research in a wide range of fields in the life and natural sciences, as well as in the humanities, social sciences
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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for Mass-Spectrometry Imaging / Spatial Metabolomics (f/m/d) This position is funded by the MULTI-SPACE alliance of the Health & Life Science Alliance Heidelberg & Mannheim, supporting a joint Mass
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interdisciplinary field that tackles fundamental questions across all domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics