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research in the College of Engineering and related programs. The successful candidate will serve as the primary liaison to departments in engineering, computer science, and technology fields, providing
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between clinics and hospital. Qualifications: Minimum Qualifications: Graduate of an approved Radiology Technology program Registered or eligible by the American Registry of Radiologic Technologists
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at The Orthopedic and Spine Hospital (TOSH). Qualifications: Minimum Qualifications: Will be a graduate from a 2 year certificate program certified by the ASRT in Radiology Technology Registered or eligible by
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 11 days ago
Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number ICVS_BI_2026_007(1) Is the Job related to staff position within a Research
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community partners Additional Posting Information: JMU’s Dual Career and Community Resources Program is available for candidates that will be relocating to the area. For more information, please visit https
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to Applicants: For full consideration, applicants must apply for Open-Rank, Tenured/Tenure-Track Electrical and Computer Engineering Faculty at https://jobs.gmu.edu/. Complete and submit the online application
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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) Application Deadline 26 Apr 2026 - 00:00 (UTC) Country China Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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. You will develop and deploy a self-supervised pre-training pipeline for learning from a large-scale microscopy dataset. You will work with expert computational scientists, data engineers, and