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laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge on the human visual system
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Molecular Imaging and Radiology (MIRA) of the Faculty of Medicine & Health Sciences, is looking for a full-time (100%)postdoctoral scholarship holder in the field of preclinical radioligand development
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experience in the document image analysis field. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Job Code: 27-25 Job Offer from September 30, 2025 The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With
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historical data. You will evaluate the performance of these models on real industrial cases in order to propose a demonstrator or prototype that can be used in production. Where to apply Website https
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) Extrapolation of photospheric magnetic fields to the corona using various approaches. 2) Quantitative analysis of HXR (imaging spectroscopy from STIX and HXI) and EUV (fluxes and DEMs) sources. 3) Analysis and
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sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab). These collaborations enable
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sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal experiments group (You
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
opportunity in computational inverse problems in the context of the ERC-StG European project Incorwave which aims to develop advanced numerical and mathematical strategies for passive imaging. This postdoctoral
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imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC). Your research will directly contribute to early detection and risk stratification