231 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" positions at George Washington University in United States
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package with Malpractice/Tail Coverage, 401 (k) matching, Medical, Dental, & Vision, and Disability & Life Insurance. More details can be found at https://careers.gwdocs.com/benefits . Special Instructions
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Washington University Law School in Washington, D.C. anticipates hiring one professor to teach in its Fundamentals of Lawyering Program (FLP) for a three-year renewable contract term. The position is a non
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: The MFA also provides generous health and other benefits, details of which can be found at https://careers.gwdocs.com/benefits . Other Information: Special Instructions to Applicants: To apply, please
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Salary: $170,000.00 - $220,000.00 Other Benefits: The MFA also provides generous health and other benefits; details can be found at https://careers.gwdocs.com/benefits. Other Information: Special
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highly selective Living Learning Community in which about 25 students live and take courses together on the nearby Mount Vernon Campus in Washington, D.C. The director is responsible for administering
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by a high-impact record of peer-reviewed publications. Teaching & Mentorship: Teach graduate and undergraduate courses in political science and mentor students within the department. Service
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experience within the $200,000 to $289,000 range. Other Benefits: The MFA also provides generous health and other benefits, details of which can be found at https://careers.gwdocs.com/benefits . Other
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: $200,000 to $400,000 Other Benefits: The MFA also provides generous health and other benefits, details of which can be found at https://careers.gwdocs.com/benefits . Other Information: The GW Cancer Center
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, tuition, well-being and various voluntary benefits. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs. Other Information: Special Instructions to Applicants: Application
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intelligence and machine learning to support systems engineers in their work. · Techniques and metrics for designing and evaluating explainable, interpretable, and trustworthy AI-enabled systems · Management