115 Computer-Science-"https:" "https:" "https:" "https:" "https:" positions at University of Texas at Dallas
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for work activities as scheduled and/or with 24-hour notice. Completion and approval of a UT Dallas Remote Work Agreement will be required, and use of personal computer, internet, and other standard
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Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special Instructions Summary Important Message 1) All employees serve as a representative of the University and are expected
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, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special Instructions Summary
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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 Applicants may also send
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Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special Instructions Summary Important Message 1) All employees serve as a representative of the University and are expected
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. Continued employment is contingent upon the availability of funds. Minimum Education and Experience Bachelor’s degree in one of the basic sciences or an equivalent combination of education and experience in
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computational ability; ability to investigate, analyze and interpret data or information for accuracy and completeness in order to make informed decisions; ability to work on several tasks at one time; ability
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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. If you
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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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modelling, theoretical physical organic chemistry and electronic structure theory to advance our understanding of chemical reactivity. We aim to develop new concepts and computational tools to drive