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interdisciplinary research group that develops tools, theory, and models for complex systems. We use these tools to document—and fight against—emergent or systemic disparities across society, especially as they
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other substance use disorders. Mentorship for developing research ideas, designs, and methods, conducting clinical trials, and writing grants will be provided. Clinical opportunities and supervision
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Experience PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Certifications/Licenses Required Knowledge, Skills, and Abilities The position requires
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quality and interoperability, and support collaborative research that improves agricultural productivity, sustainability, and innovation. Responsibilities: -Support development of a web-based open data
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management of Northeast U.S. fish stocks. The postdoctoral researcher will develop a management strategy evaluation (MSE) simulation model to explore the impacts of long-term changes in stock productivity
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that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Postdoctoral Trainee - Carolina Cancer Nanotechnology Training Program (Postdoctoral Scholar) Vacancy ID PDS004223 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC
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is highly desirable Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview 75% – Design, Perform, Execute, and Disseminate Research 15% – Proposal Development 10
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-edge project and closely collaborate with research scientists of NASA Langley Research Center. The focus of this project is on the development of new positivity-preserving entropy stable spectral
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and