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at Arlington is one of the most prestigious schools for Social Work in the nation and has the most diverse program offerings in Texas. The UTA School of Social Work ranks in the 96th percentile for overall
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. Preferred Qualifications Experience with: C/C++, Python, MATLAB, ROS 1 and 2, OpenCV, Unity, GPU programming, linear and nonlinear control theory, supervised, unsupervised and reinforcement learning, Torch
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of federally funded research and personnel preparation grants currently awarded to the University of Texas at Arlington College of Education, Teacher and Administration department, Special Education Program
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of Mathematics is the recipient of the 2023 American Mathematical Society Award for Mathematics Programs That Make a Difference. Serving more than 10,000 students every year, the department is a major center for
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, and machine learning, the program prepares graduates to drive progress in fields like renewable energy, 5G, cyber-physical systems, and smart infrastructure. University Information The University
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of federally funded research and personnel preparation grants currently awarded to the University of Texas at Arlington College of Education, Curriculum and Instruction Department, Special Education Program
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-rock interactions, hydrogen and methane production, and mineral phase transformations, is an asset. The candidate should be adept at scientific programming languages such as Python or R (preferentially
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meetings Required Qualifications Ph.D. in Atmospheric Science, Meteorology, Environmental Science, or a related field Experience using air quality modeling systems (e.g., WRF-Chem, CMAQ) Strong programming
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schools for Social Work in the nation and has the most diverse program offerings in Texas. The UTA School of Social Work ranks in the 96th percentile for overall research productivity among social work
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learning and AI tools applied to biological datasets. Proficiency in programming languages such as Python, R, or similar and ability to set up and navigate high-performance computing environments. A track