76 machine-learning "https:" "https:" "https:" "https:" "https:" positions at University of Texas at Dallas
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Until Filled Yes Desired Start Date 12/01/2025 Job Summary Looking for a rewarding opportunity to work with children? Join our Callier Center Team! The Callier Center provides a nurturing, learning
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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 Work will be
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Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career opportunity with great
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Proficiency in Microsoft Office Suite with ability to learn new software systems Detail-oriented and accurate with the ability to prioritize information in a timely manner Excellent organizational and time
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, neuroimaging or neuromodulation, or computer programming is a plus. Technical skills such as Matlab, Python, or R are highly desired but not required. Prior team-management experience and/or an interest in
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Education and Experience Undergraduate degree from an accredited institution of higher education or honorable service in the US Armed Forces. Other Qualifications To the extent this position requires
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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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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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experience or an equivalent combination of education and experience. Excellent organizational skills; proficient in MS Office products with ability to learn other software programs; detail oriented, accurate
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research and experimental data in accordance with established protocols. Assist in statistical and comparative analysis of experimental data using appropriate computer software. Contribute to the preparation