259 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at University of Texas at Arlington
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with the UTA 2030 Strategic Plan: Shared Dreams, Bright Future and the theme of Health and Human Condition (see https://www.uta.edu/administration/president/strategic-plan ) are strongly encouraged
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decision making, professional networking and interviewing strategies, and other career-related topics. Develop and coordinate programs and services to serve a large population of students and alumni. Develop
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on assigned audits. Develops audit objectives, scope and work program. Performs fieldwork activities and conducts client interviews. Performs all audit work in accordance with The Institute of Internal Auditors
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program in the strategic area of resilient and sustainable cementitious structural materials for the infrastructure. These positions shall focus in one or more of the following areas of interest (but not
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details are available at https://www.uta.edu/administration/president/strategic-plan/rise100 . The successful candidate for this position will have the opportunity to join UTA during an exciting period of
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details are available at https://www.uta.edu/administration/president/strategic-plan/rise100 . The successful candidate for this position will have the opportunity to join UTA during an exciting period of
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new tenure-system faculty to amplify research standing and position UTA as a leader in key scholarly areas; more details are available at https://www.uta.edu/administration/president/strategic-plan
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assist with the evaluation, review, selection, adaptation, and modification of standards, techniques, procedures, and criteria for public water systems design for the Plan and Technical Review Section
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; ability to learn TCEQ databases. Solid working knowledge of TCEQ and Environmental Protection Agency rules, regulations, and procedures related to publicly owned treatment works and pretreatment programs
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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