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Field
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running PhD project. Partly existing database will be used and extended to develop image processing pipelines and models for the automated evaluation of 3D data sets towards answering clinical research
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Skills: Experience in image or signal processing, medical data processing, artificial intelligence and/or computer vision. Basic system administration skills. Strong analytical and problem-solving skills
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propagation and bioheat-transfer modeling . Experience automating image-processing or simulation workflows using Python, MATLAB, C++, or similar programming languages. Experience with DICOM data, medical
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dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing and kinetic modeling. A PhD in biomedical
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Department of Radiology is seeking a Research Postdoctoral Fellow to conduct advanced research in medical imaging, image analysis, and
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disease. The Postdoctoral Associate must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related
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disease. They must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience
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, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. Experience in clinical or imaging-based research
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., Claude Code) Strong mathematical foundation relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis, machine learning) Advanced skills in