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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, contribute to publications in top-tier conferences/journals, and support grant-related projects. Minimum Education and Experience Requirements Ph.D. in Computer Science, Electrical Engineering, Statistics
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Wave , Department of Microtechnology and Nanoscience, focused on innovative research in terahertz technology. About us The Department of Microtechnology and Nanoscience advances the frontiers in quantum
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Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD, and half their time on independent research. The selected candidate will receive
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Experience4 - 10 Internal Application form(s) needed FINAL_POST DOC_ISOBASE_EN.pdf English (172.01 KB - PDF) Download Additional Information Benefits WE OFFER: Full-time employment in an assistant professor
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are not limited to: Design and conduct biomedical experiments. Nanomaterials synthesis and characterization. Extensive experience with electrical engineering, circuit design. Translational science. 3D
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his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop
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, developed by Etienne Wasmer, professor of Economics and program head in Economics at NYUAD, and funded for the next 6 years (2027-2032), brings together a group of researchers working on land all over
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. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal