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-dimensional imaging data. Actively prepare and submit postdoctoral fellowship applications. Contribute to scientific publications and grant proposals. Supervise PhD and/or Master’s students. Actively
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faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 10 days ago
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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. The research involves developing a new generation of radiation detectors that can make medical imaging safer and more effective. The focus of this project is to scale-up the detectors from research-level single
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new research collaboration with Ames Lab focused on studying the mechanisms of biomass degradation using multimodal imaging techniques. This position will specifically focus on the use of single-walled
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processing and to evolve in a stimulating work environment dedicated to neuroimaging with doctors, scientists and companies in the medical imaging sector. You will be integrated into the iMRT team (innovative
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, Quebec, Canada, H3G 0B1 where you will have access to a desktop computer, network and statistical and image analysis software. The postdoctoral appointment will not involve any clinical service to hospital
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, developing pixel detectors for high-energy physics, telescope cameras, medical imaging systems, and other scientific and industrial applications. We are seeking an outstanding candidate—creative, analytical
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, ranging from tens of keV for medical and imaging applications, to a few MeV for nuclear physics, and several GeV for electron beam diagnostics for particle physics colliders. A significant part of the
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. Your competences You have academic qualifications at PhD level. Candidates can have a background in a (bio)medical discipline (incl. medicine or dentistry), medical physics, computer/data science