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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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for learning, inquiry, and collaboration, unlike any other design school. For more information about Harvard GSD see: https://www.gsd.harvard.edu/ . Reporting to the Assistant Director of Academic Administration
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University More Jobs from This Employer https://main.hercjobs.org/jobs/21774562/postdoctoral-research-fellow-in-statistical-machine-learning-and-biomedical-ai Return to Search Results
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. Must be proficient in writing business correspondence and have strong computer skills. Must have a demonstrated ability to work collaboratively in a team environment with multiple staff members. Must be
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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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research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email mweber@seas.harvard.edu Applications will be reviewed on a
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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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world are facing dramatic upheaval as a result of rapid technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic
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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
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applications and their underlying systems. Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA. Establish reusable frameworks