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Field
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. Experience with FACS analyses or the ability to effectively learn this technique will be needed. Certifications/Licenses Required Knowledge, Skills, and Abilities Effective oral and written communication
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fellowship), who wish to prepare for careers in academic medicine. Experience with FACS analyses or the ability to effectively learn this technique will be needed. Certifications/Licenses Required Knowledge
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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you and your family’s wellbeing and allows you to be a part of the life of a vibrant and active college campus. To learn more, go to Baylor Benefits & Advantages. Explore & Engage Learn more about
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No Sick Leave No Position Description Advertised Job Summary This is a Postdoctoral Associate position in the area of mathematical foundations of data science and machine learning in a boarder sense in
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students, and may also teach one course per year for the Department of Statistics. A Ph.D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of appointment is required
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, along with a strong theoretical or practical background in statistical mechanics, quantum dynamics, or Machine Learning. Demonstrated experience operating and maintaining a research codebase and data
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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and lifting object from floor to above shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous
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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine