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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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Chair of Biological Imaging 27.02.2026, Academic staff We are now seeking a highly qualified and motivated postdoctoral fellow (f/m/d) to drive the development of novel optical technologies
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 25 days ago
. Dr. Helmut Grubmüller, invites applications for a PhD Student or Postdoc (f/m/d) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project
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, Helmholtz-Zentrum Hereon for as soon as possible we are looking for a Postdoctoral Researcher - Automated Correlative Image Analysis for BlueMaterials. In principle, the full time position (39 h/week) is also
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stations and is a competence and reference center for research on and with primates. The DPZ is one of the 96 research and infrastructure facilities of the Leibniz Association. The Functional Imaging
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
more than 40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society . The Research Group Chromatin labeling and imaging (Dr. Gražvydas
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from over 50 nations, it is the largest institute of the Max Planck Society. The Research Group Chromatin Labeling and Imaging (Dr. Gražvydas Lukinavičius) invites applications for a position as Postdoc
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Hospital. The position focuses on advanced medical image analysis in musculoskeletal medicine, with opportunities to take on scientific leadership responsibilities. The AIO group is part of the Department
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). ________________________________________ Your Responsibilities • Develop and implement Hyperspectral Imaging (HSI) methodologies for in-situ investigation of cultural heritage objects and architectural surfaces, covering VNIR and SWIR spectral
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with