358 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at Harvard University
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of complex systems, networks, and large-scale data Machine learning, generative AI, NLP, or algorithmic decision systems Ideal applicants will have a strong background in operations research, statistics
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team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast-accurate-portable-diagnostics/. What you’ll
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expertise as well as on data analytics and/or machine learning. Preferred areas of specialization include the domestic or international dimensions of education, health, and social policy; housing, urban
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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science, computational science and engineering, human-computer interaction, or a related area. We appreciate a record of teaching at the undergraduate or graduate level. Special Instructions Please submit
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/benefits
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will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social scientists who harness tools of AI, data science, and
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at the intersection of technology and public policy. One position will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social
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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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diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership