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toward integration of hydropower with battery storage and other technologies. Computational and analytical skills : Demonstrated ability in selecting and deploying machine learning tools (Random Forest
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in multiscale and multifidelity simulation techniques (ab initio methods at different fidelity, machine learning tight-binding, machine learning force fields, phase-field modeling, and/or kinetic monte
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are beneficial, candidates will work closely with data analysts and biostatisticians; the post-docs role will therefore be on scientific interpretation, reporting, and interdisciplinary collaboration. Strong
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
Title Post-Doc Research Associate Vacancy ID PDS004724 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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) · benefits guide cover-post-doc-2024 (cu.edu) Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. · PhD in Computer Science, Artificial Intelligence
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Your position This is an 80% employment contract for initially two years; additional compensation may be available and can be discussed with shortlisted candidates. The post-doc's role is project
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findings to military stakeholders and the implementation of evidence-based practices within military medical populations. Therefore, applicants should have experience working with, or significant interest in
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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10