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corresponding image processing techniques also with view on combining it with other 2D and 3D techniques such as H&E and LSFM. The work will be done in close cooperation and synergy with an already
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should have a strong background in quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of
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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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characterization. 4. Solid background in medical ultrasound imaging, signal processing, or machine learning. Hands-on experience with ultrasound systems, particularly Verasonics platform is preferred. Familiar
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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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element library FeNiCS, cardiac finite element modeling, medical image processing, and machine learning. The candidate is expected to possess excellent communication and written skills. Additionally
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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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rigorously. Develop, implement, and optimize signal and image processing algorithms using appropriate programming environments and computational tools. Contribute to the definition of system
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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
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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