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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to prepare leaders and innovators
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Postdoctoral Research Associate, Biomedical Engineering (Multiple Positions) Posting Number req25617 Department Biomedical Engineering Department Website Link https://bme.engineering.arizona.edu/ Location Tucson
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) principles; • clinical experience with companion and/or livestock animals; • technical proficiency in: diagnostic imaging (ultrasound operation), assisting and independently performing surgical/medical
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electrophysiological recordings, micro-stimulation, MR imaging, and behavioral approaches. This position is ideally suited for a candidate who plans on future graduate school studies in neuroscience, psychology, or a
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at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file
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or engineering school in physics or signal processing Proven experience in signal and/or image processing including some algorithmic and programming (Matlab). Skills and a taste for experimentation in optics will
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About Us The role sits within the School of Biomedical Engineering & Imaging Sciences, and specifically within the MRI Clinical Research Department based at St Thomas’ Hospital. The School
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at the following websites: NTU : www.ntu.edu.sg ADM : www.ntu.edu.sg/adm Application Procedure : Please login to the following webpage to submit your application : https://ntu.wd3.myworkdayjobs.com/Careers
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process, including reviewing applications, interviewing prospective students, managing a recruitment territory, and representing the College through travel and public presentations. The role will have it’s
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
images and metadata of the same patient, leveraging context information. Profile 2 (P2) – Development of AI methodologies for the automatic extraction of physiological signals, namely ECG and respiratory