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neurological diseases. Before PET imaging, a radiotracer is injected into the patient to display metabolic processes in the body. At the Institute for Neuroscience and Medicine (INM-4), we are developing
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 30 days ago
innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. The Institute of Biological and Medical Imaging (IBMI) at Helmholtz
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27 Mar 2026 Job Information Organisation/Company Christian-Albrechts-Universitaet zu Kiel Department Medical Faculty Research Field Chemistry » Biochemistry Biological sciences » Biology Researcher
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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The Stiel Lab is one of the laboratories at the Institute for Biological and Medical Imaging in the Department of Bioengineering at Helmholtz Munich . Our group focuses on the development and application
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Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research unit
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of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research unit, which
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is one of the laboratories at the Institute for Biological and Medical Imaging in the Department of Bioengineering at Helmholtz Munich . Our group focuses on the development and application
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-funded DECIPHER-M consortium (9 partners, €9M), we are building multimodal foundation models that integrate imaging, text, and structured clinical data to predict metastasis risk and identify tumor origin
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-throughput experiments in molecular biology, image and video analyses as well as pattern recognition of complex public health data Collaboration in the development of algorithms/methods and development