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Field
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Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday 8-5 VP Area U of U Health - Academics Department 02171 - Education Program and Trainees Location Campus
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. Research: We develop and support a rich array of outstanding health sciences research programs, centers and resources. We provide infrastructure and opportunities for collaboration among disciplines
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The successful candidate will have earned a doctoral degree (Ph.D. or Psy.D.) in Clinical or Counseling Psychology from an APA-accredited program and will have completed an APA-accredited doctoral internship
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responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research training under the supervision of a
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
of North Carolina at Chapel Hill. NC OSHERC Targeted Research Training (TRT) Program has an opening for a post-doctoral fellowship position for an individual interested in pursuing advanced research training
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of Ireland, aiming to develop effective vaccines to control the spread of bacterial antimicrobial resistance. This network provides a unique interdisciplinary programme with cross-training in complementary
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biology, computational biology, in vivo models of disease, and pre-clinical study development. You will have the opportunity to develop and lead projects using several cutting-edge model systems including
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data