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research in cardiovascular and autonomic (i.e., bowel, bladder, sexual and cardiovascular) dysfunctions following SCI Demonstrated expertise in current machine learning techniques applied to biological
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Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
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of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college
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physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds
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of faculty supervisor, develop novel techniques incorporating machine learning in particle physics event generators. Contribute to the development of machine learning driven techniques in the Pythia 8 event
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about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 0 yrs Required License/Registration/Certification None Physical Requirements This position requires
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promoting library services and resources; and supports engagement initiatives that encourage undergraduate and graduate student research, learning, discovery, and wellbeing. In working with student employees
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North Carolina Agricultural and Technical State University | Greensboro, North Carolina | United States | about 3 hours ago
and research in mathematics, statistics, or data science; demonstrate a strong commitment to integrating learning, discovery, and engagement; and possess extensive higher education experience, including
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University of California, San Francisco | San Francisco, California | United States | about 12 hours ago
patient care team members are responsible to meet patient needs, demonstrate willingness to learn new skills, and foster a harmonious work environment in which high quality patient care and customer service
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University of California, San Francisco | San Francisco, California | United States | about 11 hours ago
be placed on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html