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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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medicinal chemistry and lead optimization. Lead the development of assays for small molecule discovery Miniaturize and adapt cell-based and biochemical assays to automated screening systems Propose and
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of unparalleled computing resources in the academic environment by optimizing AI/ML models including scaling models across a large set of GPUs; building or optimizing LLMs to tackle new, complex tasks; developing
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and infrastructure for GenAI products, including search interfaces, chatbots, and text summarizers, ensuring optimized performance that meets specific product goals. Collaborate closely with product
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the Center and optimizes engagement of the Center with online audiences. On a regular basis, maintains, monitors, and optimizes the Center’s social media channels including Instagram and LinkedIn. Develops
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: Adheres to Customer Services Level Agreements(SLA’s). Maintains frequent and consistent contact with customer representatives and custodial supervisors (electronic and face-to-face) to ensure optimal
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, engineering, physics, or similar fields by the expected start date. Additional Qualifications Applicant should ideally have some experience in electric power systems, artificial intelligence, and optimization
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datasets as well as optimally leveraging integration with existing genomics datasets. The role will often involve rapid prototyping in support of a dynamic, fast-moving experimental program; it is focused
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to update labs and optimize experiments; Creates/updates section materials to be used by Teaching Staff; Experiments with and implements new pedagogical approaches Assessment, Assignments, Problem Sets: Works
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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple