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related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher – Automated Correlative Image Analysis for BlueMaterials Reference code: 958 - 2026/MB 1 Work
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu/ ) - is a biomedical research center focusing on translational immunology in the fields of cancer
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be extended. Equal opportunity is an important part of our personnel policy. We would therefore strongly encourage qualified women to apply for the position. As a postdoctoral researcher at P05 Imaging
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with the IfSG before starting employment (currently: measles). General information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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committed to fostering a collaborative and innovative research environment and works with large-scale imaging and sequencing datasets. We offer a 2-year postdoctoral position with system administration
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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Science
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Intelligent (AI) systems. We design application-specific image sensors with AI for biomedical and industrial applications. We are looking for new graduate students or postdoctoral fellows to conduct research
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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