354 phd-computational-"IMPRS-ML"-"IMPRS-ML" positions at University of Texas at Dallas
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and sense of community on campus. OUE consists of 55 full-time staff and employs more than 200 students, and in such, ensures program and staff practice accountability, treats students and colleagues
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employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu
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degree in computer science, Management Information Systems, or a closely related field and At least four (4) experience years performing duties similar to those described above & using specific technical
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of relevant industry work experience is required. A PhD and seven or more years of relevant industry work experience is preferred. Other Qualifications Essential Duties and Responsibilities Prepare and teach
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UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. About Us UT Dallas is a top public research university located in one of the nation’s fastest
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access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees
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Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special Instructions Summary Important Message 1) All
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development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information
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; written, oral, active listening and interpersonal skills; work effectively in team situations; proactive in identifying potential issues; demonstrate computational ability; ability to investigate, analyze
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; written, oral, active listening and interpersonal skills; work effectively in team situations; proactive in identifying potential issues; demonstrate computational ability; ability to investigate, analyze