7 machine-learning Postdoctoral research jobs at University of Texas at Dallas in United States
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with machine learning techniques, particularly machine learning potentials, in the context of chemical research. Previous work or interest in sustainability, recycling technologies, or polymer science
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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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assigned Essential Knowledge, Skills & Abilities: Demonstrate proactivity, independence, and creativity Motivation to learn and master new methods and techniques Excellent written and oral
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Experience with Speech, EEG, and fMRI data collection and analysis as well as computer programming is preferred. Essential Duties and Responsibilities Duties & Responsibilities: Coordinating research
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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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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