21 Computer Science "https:" "https:" "https:" "https:" "https:" research jobs at University of Texas at Dallas
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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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of the Ph.D. Preferred Education and Experience Preferred Education and Experience Ph.D. in Neuroscience, Computer Science, Data Science, Engineering, Physics, Physiology, Biophysics A minimum of two first
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Dallas Bright Leaders 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
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Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special Instructions Summary Additional Special Instructions For full consideration, please submit: A CV or
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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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Leaders 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
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are contingent upon formal conferral of the Ph.D. Preferred Education and Experience Preferred Education and Experience Ph.D. in Neuroscience, Cognitive Neuroscience, Computer Science, Data Science, Engineering
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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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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