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and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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Your Job: The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials
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Chair of Biological Imaging 02.02.2026, Academic staff We now seek a highly qualified and motivated PhD student (f/m/x) to drive the development of a novel quantum enhanced microscope. The Institute
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models (CNNs, Transformers, GANs) for PET and CT dose reduction - Work with raw PET/CT data, projection data, and reconstructed images - Perform quantitative image evaluation and clinical validation
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Join the IMAGINE open innovation lab community to accelerate innovation. As a researcher you will: Design and conduct research on metabolic MR imaging technologies, focusing on improving quality
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of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing
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advanced imaging techniques. The position will include work on C. elegans and zebrafish models, integrating AI-driven behavioral analysis, optogenetics, and spectroscopic imaging to study brain plasticity
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
Traitement du Signal et des Images, 2023. Douté, S., Forbes, F., Borkowski, S., Meyer, L., Heidmann, S., 2024. Massive analysis of multi-angular images by inverse regression of reflectance models
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imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences