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… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Your profile PhD degree in physics or similar natural science discipline, signal/image processing, or engineering Interest
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the European Commission. For any inquiries, do not hesitate to contact us via mariecuriemasterclass(at)dkfz.de . Where to apply Website https://www.dkfz.de/en/career/cancer-research-academy/international-postdoc
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23 Mar 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 7 Apr
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reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET
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for innovation in imaging and neuroscience, and its presence creates a unique, highly collaborative research environment. Postdocs benefit from joint seminars, shared facilities, interdisciplinary collaborations
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imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts research in the areas
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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& Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular
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have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and spoken proficiency in (scientific) English is
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 11 days ago
measurements. Implement physics-informed machine learning models to predict mechanical properties from cell morphology. Collaborate closely with experimental teams to integrate transcriptomic and imaging data