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Field
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support
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Education At the time of hiring, a PhD in Solid state Physics, Theoretical Chemistry, Computational Materials Science, or related fields. Required Experience Strong foundation in Quantum Mechanics and
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https://genomics.tamu.edu/. What We Want The ideal candidate will possess a Ph.D. and have a strong background in molecular biology and computational genomics, enabling them to independently interpret QC
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comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours (per week) Standard Hours 37.50 Daily
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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world to develop knowledge necessary to realize that vision. We look for the brightest minds in the natural sciences, engineering, materials science, policy, economics, and business who are interested in tackling
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efficiency technologies. Join a team of world-class scientists, engineers, and visionaries dedicated to shaping the world’s energy future through cutting-edge research and innovation. From our vision to our
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The Department of Zoology is one of the departments within the Faculty of Science and has approximately 80 employees including researchers, PhD students, and administrative staff. Research and