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Commissariat à l'Energie Atomique et aux Energies Alternatives - Groupe | Gif sur Yvette, le de France | France | about 15 hours ago
hardness, point defects, HAXPES, extreme environments Location: Laboratory for the Study of NanoStructures and Surface Imaging (LENSIS) at CEA Saclay, France Type of contract: PhD offer, expected start date
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, or otherwise participating in the employee selection process, please direct your inquiries to the contact on the job posting. Application Materials Required: Further Info: http://www.pma.caltech.edu/about/job
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification Registered Nuclear Med Tech at time of hire
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to recruit a research assistant to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from
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Radiology - MRI Full Time 87158BR Job Summary The Department of Radiology is a 24-hour, seven day a week operation providing imaging services for adult and pediatric inpatients and outpatients
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environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double
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the application process at https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/hinweise-zum-datenschutz-im-bewerbungsverfahren . Application costs cannot be reimbursed. Your application
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our fellows become proficient in multiple facets of musculoskeletal imaging and procedures. All imaging modalities are utilized to diagnose and treat injuries and diseases including CT, MRI, ultrasound
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tools and techniques in areas like NLP and computer vision. Prototype and test new solutions to assess impact and feasibility. Help shape policies and strategies for responsible AI use in libraries
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, works on genetic and environmental factors shaping the human brain across the lifespan. Ultimately, we wish to identify key processes necessary for building resilience to brain disease. We use a