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or TensorFlow. Advanced programming and high-performance computing skills, including proficiency in Python and/or C/C++, experience with GPU acceleration, and the ability to develop, test, and maintain research
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. · Expertise in working with large datasets and developing quantitative models. · Documented experience in programming languages such as Python, R, or VBA. · Proficiency in Excel and PowerPoint. · Experience
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completed all requirements for the Ph.D. by the start date) • Strong training in causal inference and empirical research methods • Proficiency in Stata, R, Python, or similar Preferred
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radiochemistry, computational chemistry, and/or nuclear materials science. Preferred Qualifications Depending on the project, experience with Python, machine learning techniques, and any of the following tools is
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: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . For more information about the Department of Government, please visit: https
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. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . This position is eligible for a hybrid Flexible Work
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benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . For more information about the Department of Government, please visit: https
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receive with UT? The university offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my
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UT? The university offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total
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clinical research. Expert skills in statistical analysis, i.e.. R Studio, SAS along with experience in coding, i.e. MATLAP, Python, etc. Salary Range $61,008+ depending on NIH level Working Conditions May