169 phd-computational-"IMPRS-ML"-"IMPRS-ML" positions at University of California Los Angeles
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Number: 6315310 LECTURER, GENERAL EDUCATION UCLA CLUSTER PROGRAM: ALL IN YOUR HEAD BRAIN, BODYMIND, AND SOCIETY University of California Los Angeles Requisition Number: JPF10409 The UCLA Undergraduate
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/Studies Internal Number: 6315311 LECTURER, GENERAL EDUCATION UCLA CLUSTER PROGRAM: Race and Indigeneity in the United States University of California Los Angeles Requisition Number: JPF10410 The UCLA
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, an inspiring strategic vision, and longstanding dedication to mentorship and the development of scientists. All candidates must hold an advanced degree (PhD, MD or equivalent) and appropriate academic
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industry, technologies, and corporations. Survey of leading theorists of media and exploration of case studies. University teaching experience preferred. A PhD in ethnomusicology or related field is required
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fellowship to a recent law school graduate or Ph.D. in philosophy. (A second year of the fellowship assumes satisfactory performance in the first year.) The fellowship is under the auspices of the UCLA Program
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Program at the University of California, Los Angeles are recruiting for a new faculty position for further expansion of our multiple sclerosis clinical and research programs. Requirements & Job Summary: The
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. This faculty position is at an Assistant or Associate Professor level in the Adjunct series. The successful national or international candidate must be enthusiastic, flexible and motivated to build a program
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opportunities in administration of the West Valley UCLA Stroke Program will be available to a candidate with appropriate level of expertise and experience. Responsibilities include Acute Stroke/Telestroke
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at the David Geffen School of Medicine at UCLA currently has an opening for a professional researcher to join the research lab of Robert Welsh, PhD, in the Center of Cognitive Neuroscience at the Assistant rank
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. The Hong laboratory employs a multidisciplinary approach, utilizing diverse experimental and computational technologies across molecular, circuit, and behavioral levels to elucidate the neural basis