217 machine-learning "https:" "https:" "https:" "https:" "The Open University" "The Open University" positions at George Washington University
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benefits, details of which can be found at https://careers.gwdocs.com/benefits . Other Information: Special Instructions to Applicants: To be considered, please complete the online faculty application and
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Us The George Washington University’s (GW) College of Professional Studies (CPS) offers diverse professional academic degree programs in a flexible, innovative learning environment that takes full
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visit https://hr.gwu.edu/benefits Reporting to the Materials Management Supervisor, the Materials Management Assistant supports the university’s operations by receiving, storing, issuing, and tracking
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a road test to verify skill level prior to hire. Excellent customer service skills. Basic computer knowledge is desired. Hiring Range $17.95 - $19.71 GW Staff Approach to Pay How is pay for new
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the fall of 2026, we seek a writer of poetry to teach two semesters at the George Washington University as the Jenny McKean Moore Writer-in-Washington. This academic-year position is funded by an endowment
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around and/or with machine tools that present certain dangers, and all safety precautions must be followed. This position will require kneeling, crawling, climbing ladders, riding lifts and stairs
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& leave, well-being and various voluntary benefits. Postdoc Scholars may also be eligible for retirement savings and tuition programs. For program details and eligibility, please visit https://hr.gwu.edu
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: https://gwdocs.com/specialties/urogynecology Posting Close Date: Open Until Filled: Yes Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO
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. Proven ability to influence progress toward action through strong working relationships and collaboration. Experience working independently, learning quickly, and being self-motivated while contributing
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. Pan) in analyzing clinical trial and observational data. Fitting machine learning models on large-scale heterogeneous data sources. Attending weekly group meetings. Discussing issues in the pipeline