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California State University, San Bernardino | San Bernardino, California | United States | 13 days ago
, extended vacation and MSAs); leave status and accruals (vacation, holiday, sick, jury duty, bereavement, LWOP, AWOL, military, NDIL, IDL and compensatory time); and, changes in pay status (appointments, end
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The Learning Center Tutor's primary responsibility is to tutor in Writing, Math, Health Science, Science, study and test taking skills, and/or other subjects, depending on the needs of The Learning
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, statistics, and machine learning. We offer a full-time position with the following benefits: Flexible working conditions including negotiable part time contract. Monthly gross salary: 54 - 72 thousand CZK
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 19 days ago
source tools (preferably Julia or Python), · advantage: publishing activities, including presentations of results to stakeholders and/or experience with parallel programming and machine learning / AI
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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Location Pikeville, KY Grade Level 06 Salary Range $16.20-24.82/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https
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Grade Level 46 Salary Range $25.01-41.25/hour Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu/employment
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and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible
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economic development, labor, and health economics, applying rigorous methods for causal inference and machine learning . The Institute for Business and Social Impact (IBSI) was launched in November 2013
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machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Newton`s method. In