217 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Harvard University
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Machine Learning Engineer (MLE) / Data Scientist (DS) to support the end-to-end management, analysis, and visualization of behavioral and clinical data streams. The full-stack MLE/DS will work on studies
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and learners on our platform. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions. You will manage the lifecycle of artificial intelligence
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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, United States of America [map ] Subject Areas: Biomedical Sciences / biochemistry , cancer , development , genetics , genomics , infectious disease , RNA biology , stem cell biology , virology Computer Engineering / Cloud
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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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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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research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling initiatives; Working with partner organizations or companies. Basic
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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health, health policy, data, machine learning, statistics
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is essential to Harvard's academic mission of pursuing excellence in teaching, learning, and research. CCL seeks to foster a culture of mutual respect and full participation for all members