299 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at Harvard University
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reporting for faculty and department leadership, serve as a departmental signatory on sponsored research proposals, and lead the development and delivery of grants management training. This position directly
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Qualifications and Skills: Excellent verbal and written communication skills Strong attention to detail and accuracy Strong customer service orientation Ability to independently manage multiple priorities
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to provide inferential tools. The successful applicant will be expected to develop
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members of Campus Services management to provide consistently high levels of customer satisfaction. Ensures all Custodial Services operations adheres to customer-determined standards. Develops cleaning
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services Assist in the development, implementation, and assessment of appropriate academic support services and accommodations under ADA, Section 504, and any related university policies and/or procedures
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, building teamwork, communication skills, developing personal health literacy, and continued interest in STEM fields.Teach in a co-teaching team delivering interactive sessions. Collaborates with
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of advanced technologies. This includes developing cutting-edge AI/ML models and datasets; learning how to take advantage of unparalleled computing resources in the academic environment by optimizing AI/ML
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projects of varying scales. This role requires strong prioritization skills and the ability to work effectively in a fast-paced environment with multiple conflicting deadlines. Classroom and Event Technology
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topics is a plus but not required. Additional Qualifications Special Instructions The position is funded for multiple years, with an initial one-year appointment and the expectation of extension contingent
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is currently building and commissioning a network of calibrated multi-sensor observatory-class systems, and developing novel machine learning methods with the aim of collecting science-quality data