15 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Texas at Dallas
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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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Holidays 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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or related fields PhD graduates of UT Dallas’s Bioengineering program is highly preferred Other Qualifications To the extent this position requires the holder to research, work on, or have access
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resources, including memberships to Academic Impressions, LinkedIn Learning, and participation in the UT Dallas Bright Leaders Program. For full details, visit: https://hr.utdallas.edu/employees/benefits
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setting Previous experience with clinical populations, neuroimaging or neuromodulation, or computer programming is a plus Technical skills (e.g., Python, R, Unix) are also highly desired but not required
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Impressions, LinkedIn Learning, and participation in the UT Dallas Bright Leaders Program. For full details, visit: https://hr.utdallas.edu/employees/benefits/ Special Instructions Summary Important Message 1
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Education and Experience Preferred experiences include research in cognitive neuroscience, human functional brain imaging, psychology, neurology, psychiatry, machine learning, data visualization, and data
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insurance – 100% paid employee-only coverage for full-time employees Dental insurance Vision insurance Long-term and short-term disability coverage Multiple retirement plan options Generous paid time off Paid
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techniques, methods and procedures. Physical Demands and Working Conditions Physical Activities Working Conditions Additional Information The ideal candidates should have a PhD degree in Chemistry or related
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Working Conditions Physical Activities Working Conditions Additional Information The ideal candidates should have a PhD degree in Chemistry or related field, strong synthetic organic chemistry skills