159 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" uni jobs at Harvard University
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education in the United States. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/22077158/full-stack-machine-learning-engineer-x2f-data-scientist Return
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Details Title Fellow in Human-Machine Interface Clinical Research – Bionics Lab School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position
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with a desire to research and learn more about biomedical research, multi-omic integration analytics and machine learning. In this role you will produce highly impactful biomedical informatics research
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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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, United States of America [map ] Subject Areas: Computer Engineering / Cloud Computing , Cybersecurity , Software Bioinformatics / big data , Biological Data , data science , Interdisciplinary Biomedical Sciences
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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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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
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randomized control trials, value-added models, instrumental variables, synthetic controls, Bayesian estimation, and/or machine learning, is a plus. Ability to teach, support, and/or train others in analysis