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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 days ago
Computer Science, Machine Learning, Bioinformatics, Computational Biology, or related fields. Strong experience in deep learning, ideally with PyTorch. Proven experience with graph neural networks, geometric deep
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Summary: The Experiential Learning Coordinator for the Doctor of Occupational Therapy (OTD) program is responsible for supporting all operational aspects of student experiential learning, including clinical
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/Certification Advanced Practice Registered Nurse (APRN) or Physician Assistant-Certified (PA-C) with appropriate certification Physical Requirements Sitting at computer workstation for extended periods. Lifting
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/Certification Advanced Practice Registered Nurse (APRN) or Physician Assistant-Certified (PA-C) with appropriate certification Physical Requirements Sitting at computer workstation for extended periods. Lifting
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Posting Details Posting Details Job Title Cardiopulmonary Technician/UKHC Requisition Number RE53874 Working Title Cardiopulmonary Technician Department Name H3410:Respiratory Services Work Location
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advanced analytical and statistical techniques to extract actionable insights from complex datasets. Train, evaluate, and continuously refine deep learning and machine learning models, prioritising
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 04-Apr-26 Location: BOSTON, Massachusetts Categories: Academic/Faculty Internal Number: JR-3065 The Research Nurse in
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worldwide and BNL is responsible for data compilation in North America. In order to make full use of the data in EXFOR, experience in data science, machine learning (ML) and applications of artificial
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provide information to patients, as appropriate. Routinely check voice mail and return calls to patients within 24 hours. Coordinate with patient and/or referring physician to obtain outside medical records
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro