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the Division's Office of Program & Employment Compliance at compliance@uada.edu . For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-671-2219
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. Ensure compliance with environment, safety, health and quality program requirements. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity
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geologic media As for programming, we prefer familiarity with MATLAB, Python, and C++. Prior experience with high-performance computing (HPC) clusters and Unix operating systems is advantageous. We welcome
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science of science, network science, and natural language processing. As part of a small research team, the postdoc will help lead efforts to provide a quantitative model of global competitiveness
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours 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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media Scientific machine learning Excellent programming skills in Python and C++ and prior experience with High Performance Computing Strong written and oral communication skills Appointment terms and
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meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in
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Applicant’s strengths, weaknesses, and interests to organize and evaluate one’s individual progress in the program. Position Requirements Granting agency requires that candidates for this position be either U.S
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for the DOE Oak Ridge Environmental Management Science Education and Internship Program, you will need to meet the following eligibility criteria at the time of application: Have a cumulative GPA of 3.0 on a
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internet connection for duties undertaken remotely. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possess STRONG computing