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on prevention science, family well-being, and intervention research. The Postdoctoral Research Associate will contribute to ongoing research projects examining individual, relational, and community-level factors
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Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer science, information science
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 22 hours ago
, an accelerated RN-to-BSN program, an Executive M.B.A. program structured for working professionals, and the nation’s only bachelor’s degree program focused on coastal engineering. The university’s efforts
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the
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, Mathematics, or closely related fields. • Experience conducting experimental, theoretical, or computational research. • Familiarity with mathematical modeling, data analysis techniques, or computational tools
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neuroscience, psychology, biomedical engineering, psychiatry, computational neuroscience, or a related field Required Qualifications: • Experience conducting human subjects research • Strong quantitative and
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Intelligence Learning department of the Computing and Data Sciences (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate
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data science, and/or public health or related fields including health services research, health informatics, computer scienceExperience in data analysis using statistical software & machine learning (e.g
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, University of Miami (Coral Gables, FL). The selected candidate will work on computational frameworks for digital twins in various applications and large language models for structural analysis. Initial
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Postdoctoral Researcher in Crop Genetic Resources and Informatics to apply genome informatics and quantitative genetic approaches to trait analysis in specialty (pecan) and field (maize and cotton) crops