972 computer-engineering-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United States
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Burroughs Wellcome Fund: Postdoctoral Diversity Enrichment Program Eligibility: Limited to citizens of Canada and the U.S.; candidate must have no more than 48 months of postdoctoral research
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
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Posting Title Postdoctoral Researcher – Separations Engineering . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located at the foothills
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate in Computational Structural Evolutionary Biology Department Quantitative Biomedicine Inst Salary Details 63,968
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Postdoctoral Scholar Position in Neuroethics or Techethics, Dept. of Engineering Science & Mechanics
SPECIFICS The Neuroethics Lab (PI: Laura Y. Cabrera, MA, PhD) in the College of Engineering at Penn State is seeking a highly motivated and skilled Postdoctoral Scholar to join the lab in the field
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The Data Science and Learning Division (DSL) of the Computing, Environment and Life Sciences Directorate (CELS) and the Materials Science Division (MSD) of the Physical Sciences and Engineering
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SPECIFICS The Materials Science and Engineering Department, within the College of Earth and Mineral Sciences at Penn State is seeking a Postdoctoral Scholar to perform research under the direction
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team