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Intervention invites applications for a two‑year postdoctoral fellowship within the project AI‑Driven Medical Imaging. The position is expected to start on 1 September 2026 or as agreed. The fellowship is funded
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As part of the UKRI funded `Glaciers and Ice Sheets in a Warming World' project, we have an exciting opportunity for a postdoctoral researcher who has expertise in image analysis to join the project
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William Dunn School of Pathology. The project will involve the mechanistic dissection of protein quality control pathways using quantitative cell-based assays, flow cytometry-based and imaging approaches
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quantitative cell-based assays, flow cytometry-based and imaging approaches complemented by biochemical and, where appropriate, structural methods. The successful candidate will be expected to work independently
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PhD position / Postdoc position (all genders) in AI for biomedical data analysis Full time/ Part time | Temporary | Hamburg-Eppendorf UKE_Zentrum für Molekulare Neurobiologie (ZMNH) Better together
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 9 days ago
resonance imaging (MRI), biological/physiological sciences, and a strong interest in experimental work with small animals. The position is part of the interdisciplinary project WildBrain, which investigates
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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) interested in developing innovative molecular analyses and imaging strategies for rubber composites. The PDR project will be carried out within the framework of a large public-private partnership (PPP) devoted
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We are seeking a full-time Postdoctoral Research Assistant in Cerebrovascular Imaging to join the research group of Prof Thomas Okell at the Podium Institute for Sports Medicine and Technology
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will