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Field
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molecular imaging research program. This platform will support translational studies mainly in oncology, through quantitative multimodal imaging (PET-CT, SPECT-CT, optical imaging, autoradiography
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu/ ) – is a biomedical research centre focusing on translational immunology in the fields of cancer
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-edge research on spectral CT, quantitative imaging, and artificial intelligence. Position Highlights: - Research Focus: Engage in impactful research, focused on spectral CT, quantitative imaging, machine
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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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clinical translation in head and neck health. FoDOCS integrates expertise across bioscience, biomedical and optical engineering, clinical practice, and data science, enabling seamless translation from
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | about 3 hours ago
resonance imaging (MRI), biological/physiological sciences, and a strong interest in experimental work with small animals. The position is part of the interdisciplinary project WildBrain, which investigates
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Intervention invites applications for a two‑year postdoctoral fellowship within the project AI‑Driven Medical Imaging. The position is expected to start on 1 September 2026 or as agreed. The fellowship is funded
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen