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experience with imaging, image processing, and/or visualization, as well as excellent programming skills. You must have a relevant Master's degree in computer science, electrical engineering, imaging science
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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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following established protocols, while ensuring patient safety, comfort, and confidentiality. Review patient histories and MRI safety questionnaires to confirm procedure suitability and compliance with HIPAA
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of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout
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. Schedule: Monday to Friday, 9:30am to 6:00pm. The Department of Cardiothoracic Surgery is seeking a Life Science Technician I for a funded basic/translation research laboratory to work in respiratory muscle
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Management, and IT). The research conducted at the L2S focuses on the fundamental and applied mathematical aspects of control theory, signal and image processing, information theory, and communication
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Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed to improving the way we deliver healthcare
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automation integration and deployment of image segmentation algorithms for the automated assessment of thin-film solar cell fabrication processes (e.g. layer quality, defects, morphology) within NOMAD Oasis
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of megamitochondria engulfing lysosomes (MMEL), a process implicated in mitochondrial self-digestion and hypoxia adaptation. However, the molecular regulators of MLCS dynamics during hypoxia are poorly understood. FIS1
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Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor