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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 6 days ago
differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep molecular analysis of the detected tumor clones. The postdoc (f/m/x) will build
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Chemical Biological Centre (https://www.umu.se/en/kbc ) at Umeå University and is affiliated with the national Centre of Excellence – Umeå Centre for Microbial Research (UCMR) (https://www.umu.se/en/ucmr
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A full-time position as research assistant or postdoc (37 hours/week) is vacant across the Center for Integrated Multi-omics in Precision Medicine (CIMP) and the Danish Spatial Imaging Consortium
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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practice. About the Faculty https://www.kcl.ac.uk/lsm About the Department of Biomedical Engineering https://www.kcl.ac.uk/bmeis About The London Medical Imaging & Artificial Intelligence Centre for Value
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19 Jan 2026 Job Information Organisation/Company INSERM Department U1011 Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time