19 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Texas at Dallas
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Benefits All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit
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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
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-dependent parameterizations of air–sea fluxes. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience PhD in Mechanical Engineering, Physical Oceanography, or related
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. Completion and approval of a UT Dallas Remote Work Agreement will be required upon employment, and use of personal computer, internet, and other standard equipment may be required. Remote work arrangements are
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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
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. The candidate is expected to conduct research focused on (a) development, investigation, and application of novel genetically encoded biosensors. Projects involve protein engineering, computational modeling
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Ability to troubleshoot and work independently Collegiate and professional Motivated to learn quickly and achieve mastery of new techniques Proficient working with computers and technologically savvy
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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/benefits
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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 Important
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applications for recording, analyzing, and reporting findings Strong organizational and documentation skills Ability to build and maintain effective working relationships with faculty, staff, and students