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the neurorehabilitation industry to understand current standards of practices. Qualifications Required Qualifications: ● PhD degree in Mechanical Engineering, Biomedical Engineering or related fields. ● Competence in
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, Medicine, or Engineering) demonstrated experience or knowledge of one or more of the following: computational algorithm development working with medical images, in particular CT or cone-beam CT a
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the Colleges of Medicine and Engineering. Applicants must have a PhD degree in Biomedical Engineering, Neuroscience, Biology, Physics, Medical Physics, or a related discipline. In addition, applicants must be
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Requisition Id 15340 Overview: The Power System Resilience (PSR) Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate (ESTD
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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About the role We are seeking a full-time Postdoctoral Research Assistant or Research Assistant with relevant experience to join the Control group at the Department of Engineering Science in central
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and team-based health care delivery. What we want The Institute of Biosciences and Technology (IBT) of Texas A&M Health Science Center is seeking highly skilled and motivated postdoctoral candidates
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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. Application Deadline 7/29/2025 11:59:00 PM Eastern Time Zone Description The U.S. Department of Energy (DOE) Science, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | about 1 month ago
-tolerant quantum computers that can handle applications at realistic scales. To date, several architectures for quantum hardware have been developed that all have their strengths and weaknesses. For instance