148 distributed-algorithms-"Meta"-"Meta"-"Meta" positions at Pennsylvania State University
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, and news releases Collect, distribute, manage, and organize team inventory including uniforms, merchandise, and equipment Ensure player and coach compliance with NCAA regulations; monitor student
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approximately 88,000 students across multiple campuses and its top-ranked World Campus, Penn State is a digitally advanced, geographically distributed university. Its research expenditures have steadily grown
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to the Ritenour Building at the front desk. Responsible for mail distribution, conference room scheduling, and supply ordering for Office of Associate Dean, Future Students Office and Office of Science Engagement
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investigate AI/ML algorithms to deliver behavioral interventions at the moments of need and how those can/should be modified to account for personalized preferences. To accomplish this goal, we study behavior
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the brain. We are particularly looking for a PhD level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and its causal link with specific neural circuits
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solutions. Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and artificial intelligence. Contribute
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. Draft and distribute communications; maintain databases and resolve compliance-related inquiries. Administrative Support for the Dean’s Office Coordinate daily operations, manage administrative workflows
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and exam printing requests. Sort and distribute mail, prepare daily mail slips for outgoing mail, receive and send packages. Provide assistance to administrative team members in the preparation
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Duties Attend Campus Recreation events and programs to capture video and photographic content. Assist in printing, distributing, and delivering promotional materials as necessary. Engage in collaborative
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Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows