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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RSDM - Oral Biology Overview
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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
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, humanities, social sciences, and physical sciences to address real-world challenges. Faculty and students conceptualize, prototype and evaluate products and processes that enhance human potential, well-being
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limited to, molecular biology and cloning, T cell transduction, flow cytometry, imaging, in vitro and in vivo assays, behavioral tests, and RNA-sequencing. Collaborates on designing, conducting and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Activity: Organic chemistry, medicinal chemistry Supervisor: Charline KIEFFER – charline.kieffer
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position in the lab requires high-level technical skills in microscopy and computational image analysis and experience in experimental biological research. Duties and tasks are complex in nature where
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PhD, MD/PhD, or equivalent doctoral degree in biomedical sciences, immunology, microbiology, physiology, or related field Computer Skills Microsoft office Supervisory Responsibilities No Required
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
(www.acmlab.org) in the Department of Psychiatry and Department of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion