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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a researcher (m/f/x) ready to try new techniques and approaches and explore and tweak them until they work. The lab
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to biomedical data is a plus Experience in image processing techniques, such as segmentation, is of advantage Ability to quickly grasp new concepts and work independently on complex problems Ability to work as
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
for Functional Marine Biodiversity (HIFMB). You will combine state-of-the-art OMICS approaches, cell biology, and advanced imaging to dissect the cellular signaling and regulatory networks that control
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at the German Cancer Research Center in Heidelberg, is seeking for the next possible date a Postdoc – Spatial Single-Cell Perturbation Maps Reference number: 2026-0031 Our division is interested in systematically
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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a candidate (m/f/x) who will use the combination of our spectroscopy infrastructure, and structural information
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Chair of Biological Imaging 30.01.2026, Academic staff Researcher (m/f/x) with an engineering or physics background and a motivation to drive the technology towards the market. The lab The Stiel Lab
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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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to biomedical data is a plus Experience in image processing techniques, such as segmentation, is of advantage Ability to quickly grasp new concepts and work independently on complex problems Ability to work as
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systemic infectious processes, immune responses, and evaluating therapies, refinement measures to reduce stress and improve welfare in experimental animals are underexplored. In this 3RTG, we will address
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy