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statistical models, with a focus on machine learning methods, for more accurate predictions of polygenic risk scores, genomic breeding values (livestock and plants), and future phenotypes; evaluation
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responsibilities is intended to sustain the academic goals of the university to serve adult learners, and advance the professional goals of the faculty, while creating a supportive learning environment that provides
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for, and execute cyberinfrastructure projects that leverage innovations in artificial intelligence, machine learning, and deep learning. You will establish a national reputation and leadership in Artificial
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with Brightspace learning management system (LMS) is preferred. Higher education teaching experience is preferred. Exceptional computer skills. Excellent communication skills, both oral and written
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distance learning. Additional duties as may be assigned by the School. Experience: Masters Degree or Phd in the following Social Sciences fields: US History or Sociology. Focus areas of Environmental, Class
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Associates, Bachelors and Masters degree programs. This position offers an excellent opportunity for individuals to work in a professional learning community wherein faculty contribute to and engage in
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: analysis of spatial ‘omics or behavioral neuroimaging data; use of cloud computing, machine learning, and IT infrastructure to manage and analyze terabyte-scale, 4D datasets; familiarity with R or Jupyter
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simulation, neural motion (machine learning for animation), group and crowd behavior, creativity-support tools for animation, perceptual metrics and foundations of animation, motion and volume capture. Duties
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Job Summary The Departments of Physics & Astronomy, Chemistry, Computer Science, and Mathematics in the College of Science, and the Elmore Family School of Electrical and Computer Engineering in
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Job Summary The Departments of Physics & Astronomy, Chemistry, Computer Science, and Mathematics in the College of Science, and the Elmore Family School of Electrical and Computer Engineering in