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Responsibilities: To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc. To produce research reports and/or
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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Department: Ambulatory Services | Lewis Center Imaging Scope of Position The MR Division encompasses MR equipment located in University Hospital, East Hospital, James Cancer Hospital, and OSUWMC Ambulatory
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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. The working language of the lab is English; knowledge of the German language is not necessary. Experience in computational image analysis, deep learning, and strong coding skills (Python, R) are required
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . $5,000 Sign on Bonus The University of Miami UHealth Department of Imaging Services has an exciting
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Instituto de Investigación Sanitaria Puerta de Hierro – Segovia de Arana (IDIPHISA) | Spain | 7 days ago
Imaging with the category of Senior Specialist in Professional Group II for the functional area 2 scientific-technical. (MECES 3. EQF7). The Cardiology research area is made up of six researchers and is
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. Proficiency in coding (e.g., Python, R) and working with imaging platforms for data processing and analysis. Strong scientific writing skills, with the ability to independently prepare research manuscripts and
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imaging specialist/computer vision engineer with a strong background in computer vision and image processing techniques to join our team in Leuven. You will work together with various sub-system development
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imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC). Your research will directly contribute to early detection and risk stratification