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literatures: collective behavior, cultural evolution, computational social science, mathematical psychology, network science, collective intelligence, HCI, or the sciences of institutions, organizations, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Posting Information Posting Details Department Mathematics - 318900 Posting Open Date 10/07/2024 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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Fellowship Program (Postdoc) is a high-intensity program designed to identify recent Doctoral graduates of high promise and to foster advanced skill development. It allows the postdoc to systematically outline
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machine learning, statistics, or applied mathematics that could drive the frontier of biomedical research. The role will be focused on the development of novel computational and algorithmic methods, with a
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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. Minimum Requirements • PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. • Strong quantitative background including at least some
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assists them to identify career opportunities in Northern Nevada. Dual Career Assistance Program Department Information The Chemical and Materials Engineering Department is a vibrant, growing place to work
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require close collaboration with members of the Neutron Technologies Division, the Neutron Scattering Division and the Computer Science and Mathematics Division, as well as project members from other DOE
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Electrical Engineering, Computer Science, Operations Research, or a closely related field. Experience in power systems, distribution systems, or microgrid modeling, with a solid understanding of advanced co