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and reliable quantification in theragnostic studies, strengthening the translational relevance of imaging data. Close collaboration with medical physicists within the unit will support quantitative
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E-mail jakub.ceranka@vub.be Website https://jobs.vub.be/job/Elsene-PhD-in-'medical-image-analysis-and-artificial-in… Requirements Research FieldEngineering » Biomedical engineeringEducation
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Denoising Methods for Dual-Tracer PET Imaging Positron emission tomography (PET) is often used to diagnose
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sciences, medicine, biomedical engineering, or a related field Strong interest in cardiovascular physiology and/or medical imaging Skills in data analysis, processing, and statistics Languages Advanced
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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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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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Deadline: 13 April 2026 Supervisors: Dr Nicholas Grant and Peter Anastasi Project description: Terahertz imaging has the potential to transform sensing, inspection, and medical diagnostics, yet current
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, as well as from industry. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294560/phd-research-fellow-in-deep-learning-for-medical-imaging-and-multi-modal-data-in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 12 hours 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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omics data (genomics, transcriptomics, proteomics, metabolomics) and integrative multi-level analysis Experience in medical image processing and analysis (MRI, PET, digital histology, microscopy