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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
-based study. Projects will focus on identifying genetic and environmental risk factors for breast cancer and benign breast disease, with opportunities to work at the intersection of population health and
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, particularly MPRA or population genetics data. Experience in the molecular mechanisms of transcription, including elongation, termination, and splicing, is strongly preferred. Preferred Qualifications Education
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physiological signals for health applications, with a focus on aging populations. The Post-Doctoral Researcher will take a lead role in driving research projects from early prototype to publication. This means
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
superb clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities across North Carolina and beyond. Education: We prepare tomorrow`s healthcare
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mechanisms, functional genomics, or computational genomics. Strong preference will be given to applicants who have experience analyzing large-scale sequencing datasets, especially MPRA, population genetics
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teaching environment. Our long-standing strength lies in integrating various life‑science fields – from cell and molecular biology and genetics to anatomy, neuroscience, musculoskeletal biology, histology
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. Reporting to Professor Thomas Nichols, in collaboration with Professor Naomi Wray and Wesley Thompson, you will join an interdisciplinary team spanning statistics, machine learning, genetics, and population
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research postdoctoral fellowship. The full-time research position will primarily focus on the study of genetic and neurobiological influences on the progression of substance use, substance use disorders, and
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in