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Field
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Framework Programme? Horizon 2020 Reference Number 101229540 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of History of the Research Centre for the
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Contract type: Fixed term for 12 months Hours: Full-time About the role We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical
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Sciences team. We desire an individual who subscribes to and supports our commitment as stated above. The successful applicant will bring an expert level of experience to the position and understand
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of ORNL researchers with various backgrounds (e.g., material science, neutron science, chemistry, manufacturing, computing, others). Interact and collaborate with researchers from universities, national
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empirical work as part of their doctoral work. (PhD must be in-hand by the position start date.) Applicants must be no more than 2 years post-completion of PhD. Must be willing to move to (and be based in
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). Experience with human-factors instrumentation and data streams: eye tracking, physiological sensors, and motion capture. Familiarity with data/video coding tools and computer vision (e.g., OpenCV, scikit-learn
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to explore innovative ideas and develop your own research vision. Continuous support to apply for your own fellowships and excel in your future career progression. Exposure to both computational and
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. These changes would not affect the position duties as outlined. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
the Department. Position Summary These positions are a part of the development of the research program in a specific lab at the Department of Chemistry at the University of North Carolina at Chapel Hill
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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific