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of biomechanics and computer vision to document the wingbeat frequencies and phototactic behaviors of diverse insects under diverse contexts. Candidates will be expected to plan and lead behavioral experiments
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, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Special
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, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Additional Qualifications Special Instructions Application
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to continue with (and submit) your application). Learn More About OI’s Predoctoral Fellowship On Wednesday, January 21, 2026, at 1:00 pm ET, we will host a virtual information session (via Zoom) to provide more
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postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement
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We highly recommend reviewing our department website’s Faculty pages to learn more about our faculty, their labs, and their research interest before applying. Please apply through the ARIeS portal
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Harvard department of their choosing, but otherwise are expected to conduct independent research. They may not take courses for credit or teach more than one course per year, and they are expected to be in
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. in electrical engineering, applied mathematics, or related field. Candidates who have a strong mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized
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. Along with access to Harvard’s library and other resources, the fellowship includes the requirement to teach one course per year, to participate in a fellowship program conference each spring, and an
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and scalable synthesis. · Ability to think critically and communicate effectively, design and execute experiments independently, and learn new techniques quickly. · Effective writing skills