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Summary Be the catalyst for student success and join us train more teachers with SMART! Early adolescence is an optimal time to enhance learning, but many educators do not have the benefit of scientific
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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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. Work in the group involves using machine learning and omics data analysis to gain insights into biological systems, including cancer cell plasticity, immune response, and pattern formation in development
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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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technical problems as well as summarize and present results Manage rodent colonies used for research experiments Other duties as assigned Knowledge, Skills & Abilities Motivation to learn and master new
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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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. Work in the group involves using machine learning and omics data analysis to gain insights into biological systems, including cancer cell plasticity, immune response, and pattern formation in development
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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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, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. About Us UT Dallas is a top
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advanced techniques, including single-cell/nucleus RNA sequencing, sophisticated viral tracing, machine learning-assisted mapping and reconstruction of brain-wide circuitry, behavioral clustering, cell-type