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machines. The project involves using the output data from machine learning models of face identification to compile sets of face identification images to be used for testing purposes. The Research Associate
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individualized training goals; fellows are encouraged to identify research topics and technical approaches they want to learn in the lab by exploring the Sadler Lab website and reading publications from the group
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Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. About UT Dallas UT Dallas is a top public research
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single-cell/nucleus RNA sequencing, sophisticated viral tracing, machine learning-assisted mapping and reconstruction of brain-wide circuitry, behavioral clustering, cell-type and action-specific Cal-light
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professional 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
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molecular biophysics and computational biology. Particularly important is experience with high performance computing, statistical inference and machine learning applied to biological sciences. Minimum