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-of-the-art imaging & spatial biology facility and the computational data integration at the Leibniz Institute for Immunotherapy (LIT). Postdoctoral researcher (m/f/d) – PB-2026-1 part-time (20.05 hours per
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, Biomedical Engineering, Medical Physics, Computer Science, or a related field. • Strong background in medical image processing, signal analysis, or computational modeling. • Experience with these imaging
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motivated PostDoc candidate to join our interdisciplinary team at the intersection of artificial intelligence, natural language processing (NLP), and medical informatics. Your research will focus
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, clinical, and longitudinal follow-up data, including statistical modelling and survival analysis. Process, curate, quality-check, and analyse DICOM imaging datasets across modalities including DBT
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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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research facilities, and high-performance computing resources. Education Requirement: - MBBS, MBBCh, MS, MD, PhD, or MD/PhD in Radiology, Medical Physics, Biomedical Engineering, Computer Science, or a
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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science