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. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a strong background in this area, as well as a genuine interest in continuing such work
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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–AWS Impact Computing Alliance. This role is designed for an engineer who thrives in research settings and enjoys translating scientific goals into robust, efficient, and reproducible AI/ML systems
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Research Associate. The Merkenschlager lab investigates how cells of the immune system cooperate to generate optimal immune responses. This individual will be supervised by Dr. Merkenschlager, but will
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opportunity to shape the future of medicine. Job Description As a High-Performance Computing (HPC) Engineer, you will support the implementation, operation, and lifecycle management of secure and scalable HPC
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optimize techniques, in addition to reading relevant literature and providing training for other lab members. Working Conditions/ Physical Requirements: Research lab and data analysis. Qualifications Basic
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for understanding how AI-enabled control, optimization, and market design can support large-scale decarbonization, grid modernization, and the integration of distributed and flexible energy resources. Research topics
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program staff on AI integration. Support adoption of agentic AI capabilities across teams. Automation & Process Optimization Identify high-impact automation opportunities across the executive education
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Strategic Procurement Department is a central administrative function that serves all Harvard schools, institutes, and administrative units. Our mission is to create value for Harvard by optimizing
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to, the following: Data Analysis and Programming Develop study questions and analytic approach (including literature searches and data searches using various sources) Optimize, test, and debug model code Clearly