86 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Harvard University
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astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a
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and/or testing of samples. May occasionally instruct others in basic laboratory techniques. Working Conditions: Work is performed on-site in Cambridge, MA. May be required to work with a variety of
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believe all students will learn and thrive when education leaders make decisions using facts and findings, rather than untested assumptions. By generating relevant and accessible research, developing
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where innovation, continuous learning, and work-life balance are valued. Learn more about the School’s mission, objectives, and core values , our Principles of Citizenship , and about the Dean’s AAA
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where innovation, continuous learning, and work-life balance are valued. Learn more about the School’s mission, objectives, and core values , our Principles of Citizenship , and about the Dean’s AAA
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, and AI/machine learning would be helpful for the role. Experience with participant recruitment and retention as well as clinical human subject studies is a plus. Special Instructions Application
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accounting principles is critical Must have excellent computer skills including in-depth understanding of, and experience with, databases, spreadsheets, word processing and scheduling/email software packages
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military, and/or in journalism. Additional Qualifications and Skills: As noted in the Job Summary, interpersonal skills needed to represent the IOP publicly, to work successfully in an academic environment
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health, health policy, data, machine learning, statistics
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such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning