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models. However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and philosophy. In
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activities in which applicants have participated, beginning with the most recent. Special Skills and Abilities: List professional/technical skills and abilities that are relevant to this program. Submitted
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 14 hours ago
candidates to apply to the DOE Science, Technology, and Policy (STP) Fellowship Program via the U.S. Department of Energy's (DOE) Workforce Readiness Accelerator for Major Projects (RAMP) program under the DOE
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
Postdoctoral Trainee - Carolina Cancer Nanotechnology Training Program Vacancy ID PDS004947 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North
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key findings in peer-reviewed journals in a timely manner. Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 7 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Hours of work: Full-time Tenure: Fixed term for 1 year We are seeking to appoint two outstanding researchers to join an ambitious, multidisciplinary research programme focused on the discovery
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The Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Postdoctoral Researcher – Scientific Machine Learning & Computational
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The Chemical Sciences and Engineering Division invites applications for a Postdoctoral Appointee to contribute to innovative research at the intersection of computational catalysis, quantum
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). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology