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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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, Economics, or a related field, earned within the past six years Strong computational and statistical skills Experience with large-scale data analysis and machine learning Proficiency in scientific programming
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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• Familiarity with operating HPC clusters (e.g., bash, Python) Preferred Qualifications • HPC programming skills (e.g., modern Fortran or C/C++) • Parallel programming skills (e.g., OpenMP, MPI, OPENACC, CUDA
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Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites. Minimum Requirements: Doctoral degree in a quantitative discipline such as computer science
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software engineers within the Computer Science and Mathematics Division, providing an opportunity to work in a stimulating multidisciplinary environment. Major Duties/Responsibilities: Perform neutron
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, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. Visa
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: Epidemiology, Biomedical Informatics, Biostatistics, Public Health, Computer Science, Health Services Research, or a related discipline Strong quantitative and analytical skills, with proficient programming
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natural sciences Experience with scientific programming and Unix operating systems Experience with various programming languages, including C++, Python and Matlab Ability to work with large datasets
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Hearing (SLH) within the School of Behavioral and Brain Sciences at The University of Texas at Dallas (UTD — bbs.utdallas.edu). The SLH department hosts the nation’s #3 ranked graduate program in audiology