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basis and allows trainee to work with advanced image processing software. Our equipment base includes most advanced Siemens MRI and CT systems including Dual Source CT technology as well as 1.5T and 3T
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[LL7.1] VIII- Application Submission Candidates must access and register on the electronic platform https://apply.uc.pt/ to submit their application, selecting the procedure to which they wish to apply
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programme Reference Number AE2025-0594 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0594
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overview Position title: Abdominal Imaging Fellow/Health Sciences Clinical Instructor Salary range: The posted UC salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/index.html ) set
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
programme Reference Number AE2025-0564 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0564
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University of California, Los Angeles | Los Angeles, California | United States | about 16 hours ago
Skip to main content Recruit Home Open Recruitments Musculoskeletal Imaging Fellowship 2027-2028 (JPF10688) Musculoskeletal Imaging Fellowship 2027-2028 Apply now to Musculoskeletal Imaging
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» Computer engineering Researcher Profile Recognised Researcher (R2) Country Canada Application Deadline 8 Feb 2026 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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digital innovations”, Project ID 101186592, https://cordis.europa.eu/project/id/101186592 , running at the University of Minho between February 2025 and January 2030 and funded by European Research
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of movement quality after stroke using multimodal functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning