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for collaborative research within the University and with community partners, including active programs in artificial intelligence, quantitative imaging, and imaging informatics with direct clinical translation
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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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partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
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and Advanced (shared), Anesthesiology and Surgery (shared), Soft Tissue Surgery (shared), Urological and Genital Diseases (shared), Neurological and Musculoskeletal Diseases (shared), Diagnostic Imaging
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of electron microscopy and beam-material interactions. The ideal candidate will have a basic understanding of image processing. Core competencies: – Knowledge of image processing software (Avizo, Dragonfly, etc
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of tomorrow safer. Be part of change LLMs have gained significant attention recently due to their remarkable capabilities. A similar, yet less explored field focuses on text-to-image (T2I) model architectures
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procedures; coordinate the administration of sedation to patients when necessary; under the direction of a physician; administer contrast media; maintain adequate computer and/or written records using
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The Program in Computing for the Arts and Sciences (PCAS) is looking to hire one (1) GSI in the fall 2026 term to manage undergraduate instructional aides (IAs), grade, and lead lab sections for faculty
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Systems and Computer Networks at the Institute of Applied Computer Systems (IACS), Faculty of Computer Science, Information Technology and Energy (FCSITE), within the indicative research theme Photonics
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https://www.uni.lu/snt-en/research-groups/trux/ . The successful candidate will: Conduct cutting-edge research in multimodal and multilingual natural language processing Develop and curate multimodal