708 machine-learning "https:" "https:" "https:" "UCL" "UCL" positions at Harvard University
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) is a community of Information Technology professionals committed to understanding our users and devoted to making it easier for faculty, students, and staff to teach, research, learn, and work through
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) Foundry team 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
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) Description: Apply Description Join us as a postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health
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scientists, engineers, and/or doctors! The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https
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, and either flow cytometry or microscopy, or both. The ideal candidate values patience, curiosity, and hypothesis-driven science, and is eager to learn new model systems and/or techniques. High standards
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and injury prevention. Design, supervise and administer injury prevention programs. Maintain proper documentation of written strength and conditioning programs for assigned sport programs. Instruct
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caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits
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³ provides a new architecture for rigorous research, immersive learning, and cutting-edge practice. The Institute is built to dynamically adapt and scale, and responsibilities will evolve over time. Visit our
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, collaboration, and flexibility Enjoy our work, grow professionally, and aim for the extraordinary Learn more about Financial Administration (harvard.edu) and our eight reporting units. (https
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opportunity to contribute to leading-edge research at the intersection of applied machine learning and clinical dental practice. As a member of our team, you will help translate contemporary data science