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Levine Lab - Electrophysiologist (Assistant Professional Researcher) Department of Oral and Maxillofacial Surgery University of California, San Francisco The Levine Lab is seeking a skilled and motivated
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Posting Details Posting Details Job Title Radiology CT Tech/UKHC Requisition Number RE51560 Working Title Department Name H6250:Imaging Services Work Location Lexington, KY Grade Level 10 Salary
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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all duties of an Interventional Radiological Technologist, in addition to providing support to the operation of the department. The Lead provides all radiation quality assessment activities
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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Hospital and Solove Research Institute. The Executive Assistant works under minimal supervision and is responsible for the efficient operations and professional image of the Office of the OSUCCC- James
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fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model organism will be Bacillus subtilis, but other bacteria as well as fungal species including
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imaging and nanoparticle biodistribution. Prior involvement in grant writing, IP, or translational research collaborations Minimum Qualifications Ph.D. in Biomedical Engineering, Pharmacology, Neuroscience
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data
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Portal https://securemail.tu-dresden.de by sending it as a single pdf file to uwe.hampel at tu-dresden.de or to: TU Dresden, Chair of Imaging Techniques in Energy and Process Engineering, Prof. Dr