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. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and
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dates intended to provide a full-time program of advanced academic preparation and research training. CV and Cover Letter are required. 003252: POSTDOC-EMPLOYEE 003253: POSTDOC-FELLOW 003254: POSTDOC-PAID
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complex piece of research equipment. 4. May review and evaluate the effectiveness of personnel. 5. May plan for and assign personnel to projects under control. 6. Operates with latitude for unreviewed
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and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU?s global network university
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professional development programs, ensure that students gain practical, hands-on experience in their fields while enhancing their academic learning. Students can explore their passions outside the classroom
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leveraging cutting-edge technologies. This position offers an exciting opportunity to develop a research program in tissue biology using state-of-the-art methodologies. The successful candidate will receive
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
support a rich array of outstanding health sciences research programs, centers, and resources. We will provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our
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processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author peer-reviewed published
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recruitment and buy-in, CARE program implementation and fidelity of implementation monitoring, and data analysis and manuscript generation. This position will complete duties as follows: Recruiting: Reaching
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approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within