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Field
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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement
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, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by developing theories, principles, tools and methods
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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 | 2 days 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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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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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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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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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