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approaches to problems in acoustics, lasers, spectroscopy and atomic beams. Our faculty collaborate with colleagues in many other units including Biology, Chemistry, Mathematics and the Brody School
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, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications in top-tier machine learning/AI
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for the President’s Postdoctoral Fellowship Program (PPFP). We seek an early-career mathematics education scholar who centers issues of race and racial equity in their research and instruction. The purpose of the PPFP
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of infrastructure and technology systems for mathematical/computational modeling and control theory for life-cycle management optimization and policy of smart and sustainable infrastructure and environment systems
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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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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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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