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methods, and animal models is required. Certifications/Licenses Required Knowledge, Skills, and Abilities Must have effective skills in oral and written communication, teamwork, and problem-solving, and be
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Summary: The Goodwill Computing Lab seeks a Postdoctoral Research Associate. The Goodwill Computer
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energy supply chains and play a crucial role in shaping the future of renewable energy. Economic assessments will include estimates of job creation, wages, and GDP attributed to foreign direct investment
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Position overview Position title: Postdoctoral Scholar in Theoretical Chemistry. Salary range: See Table 23 for the salary range for this position. A reasonable estimate for this position is
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extensive epigenetic, genetic, and phenotypic data, applying cutting-edge analytic methods to uncover the biological underpinnings of mental health. You will contribute significantly to the Dunn Lab’s
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the Environmental Risk and Energy Analysis Group. The candidate will work with a multi-disciplinary group of experts in economics, engineering, computer sciences, and physical sciences on the economics and policy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
$61,008 - $74,088 Proposed Start Date Estimated Duration of Appointment 24 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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experience working with large complex longitudinal datasets is required. (Experience conducting statistical analyses such as robust variance, binomial regression, generalized estimating equations, Cox