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Apply now Job no:525134 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: Elect & Computer Engineering Union: Post Doc Categories:Postdoctoral Research Associate, College
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Postdoctoral Associate (PDA) position in Clinical High Risk for Psychosis Program The PRIME Psychosis Risk Clinic (https://www.prime.research.yale.edu) at Yale University School of Medicine is
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excellent verbal and written communication skills, attention to detail, and demonstrated computer efficiency. In addition, the candidate should have strong organizational skills, the ability to successfully
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Postdoctoral Trainee - Carolina Cancer Nanotechnology Training Program (Postdoctoral Scholar) Vacancy ID PDS004223 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC
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, as well as parallel and distributed computing. Additionally, the Postdoctoral Scholar will collaborate closely with the PI to produce research articles aimed at disseminating the findings obtained from
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, information processing, computing, cybersecurity, and communications technologies. ISI’s 400 faculty, professional staff and graduate students carry out extraordinary information sciences research at three
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distribution systems. The scholars will have a unique opportunity to work simultaneously on a real-world industry-grade microgrid and state-of-the-art Hardware-in-the-loop HIL testbeds. Essential functions
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Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job Description Under
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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Program Department: Medicine | Pathology Post Doctoral Scholar position in the laboratory of Hiroki Taniguchi Ph.D. Research focus is on understanding the molecular, cellular, and circuit mechanisms