629 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Harvard University
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) Description: Apply Description Join us as a postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health
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assessed for impact. Responsibilities include: In the MDE Program: Co-teach the spring semester of MDE Studio course (STU 1232) annually. Studio is both a space as well as a pedagogical setting which can
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an inclusive community of dedicated problem-solvers who hold themselves – and one another – to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
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of and experience with quantitative methods (simulation modeling, optimization, and machine learning) preferred This is an annual term position reviewed each academic year on or before June 30th, with
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, deposits, and digital engagement Empower teams through self-service analytics and data accessibility Data Governance & Quality Establish practical, scalable data governance standards Ensure data integrity
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-motivated with a strong desire to acquire on-the-job training, to succeed, and to develop intellectual and practical professional skills. Demonstrated ability to work well in teams is essential. This position
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. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 000. Corresponding salary information can be found in the job
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caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits
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vibrant intellectual environment. Basic Qualifications Please see the fellowship page for more information: https://www.huri.harvard.edu/jacyk-distinguished-fellowships Additional Qualifications Special
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PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective