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University of California, Los Angeles | Santa Monica, California | United States | about 14 hours ago
software, hardware, images, and deployment process including post configurations, and asset management for UCLA Health IT managed departments Ensuring that policies, standards, standard operating procedures
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, Medical Imaging & Radiation Therapy- School of Medicine. Email: aengland@ucc.ie Applications must be submitted online via the University College Cork vacancy portal https://ore.ucc.ie/ Queries relating
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will serve as a key member of a multidisciplinary research team including cardiologists, geneticists, imaging specialists, research coordinators, and nurse practitioners, but this position will be
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About Us The role sits within the School of Biomedical Engineering & Imaging Sciences, and specifically within the MRI Clinical Research Department based at St Thomas’ Hospital. The School
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POSITION HIGHLIGHTS • The Radiology Technical Assistant provides general support to the Imaging Department. This includes preparing the patient for the procedure/ exam, transporting the patient, assisting
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Fagan Application Deadline: Applications accepted all year round Details Background: Clostridioides difficile is the leading cause of healthcare-associated infections and is notoriously difficult to treat
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website for more information about our research interests: https://krupina.lab.uiowa.edu This position is designed for individuals who: • Seek training, experience, and mentoring in a research setting
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Part Time Add to My Favorite Jobs Email this Job Job Summary #CA-DK The CT Technologist is responsible for performing a variety of diagnostic imaging procedures using CT equipment to aid in patient
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-, outcome- and sensory-guided actions, and how these processes are disrupted in genetic neurodevelopmental disorder models, including autism, OCD, ADHD, and intellectual disability. Postdocs will work in a
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems