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Field
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/Electronic Engineering, Signal Processing, Machine Learning, or a related field. An advanced degree (eg. Masters/PhD or equivalent) is preferred. Research background in Deep Learning, Large Language
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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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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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. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
570 Master's and PhD students. More than 2500 graduates are playing active roles in industry and academia. We Are Recruiting in Three Core Disciplines: Integrated Circuit Science and Engineering Focus
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Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. • Knowledge of machine learning, pytorch, huggingface etc... • Knowledge of image processing
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, Electrical Engineering, Medical Imaging, Medical Physics, Biomedical Image Analysis, Artificial Intelligence, Medical Robotics, or other related scientific disciplines); A minimum relevant (including PhD
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-ray tomographs of the BM05 beamline. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5521-LAUORG-010/Default.aspx Requirements Research Field Engineering Education Level PhD or equivalent
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. FENG.02.01-IP.05-M042/25 Where to apply E-mail [email protected] Requirements Research Field Physics Education Level PhD or equivalent Research Field Engineering » Materials engineering Education
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effectively with faculty investigators, engineers and research staff to achieve project objectives. Primary Duties and Responsibilities: Develops and tests new image processing and software methods