139 phd-computational-"IMPRS-ML"-"IMPRS-ML" positions at University of Texas at Arlington
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; 8:00 a.m. through 4:30 p.m. One (1) week each month: Sunday-Wednesday; 8:00am-4:30pm. One (1) week every other month: Monday-Friday; 2:00 p.m. to 10:00 p.m. Participates in the on-call program for
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operations and personnel. Experience with solid works. MS office tools, and other simple computing skills. Preferred Qualifications Bachelor’s in an engineering, technology or related field. Five (5) years
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, professional development, and the ability to build an extramurally funded research program. For the tenured position, candidates should have an exemplary record of scholarship and recognized leadership in
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Practicum Education databases to complete student matches and placements in approved agencies. Confirm with BSW, BSSUT, MSW, distance and online program Directors and academic advisors that students have the
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independent judgment. Committed to maintaining a high level of confidentiality. Other Requirements Use of a personal computer and standard office equipment. Proficiency in all phases of work performed. Usual
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and challenges. The successful candidate will demonstrate a strong track record in curriculum development, workforce development, educational program evaluation, and outreach activities. Application
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Programs will support the development program for the College of Business (COB), which includes supporting the fund raising and philanthropic efforts of the Assistant Dean of Development and the Director of
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the organization. Designs, develops, tests, and implements advanced multi-dimensional data models, customization’s, and integrations within the lakehouse environment. Utilizes high-performance computing resources
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analytics, human-computer interfaces, health informatics, personalized medicine, and/or health outcomes. They will also have a record demonstrating a high likelihood of continued research success. Benefits
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred