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available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a
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Skip to main content arrow_circle_down menu close Menu Search Search search About Resources Events Programs Awards Better Together Office for Culture and Community Engagement Our website is evolving
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Skip to main content arrow_circle_down menu close Menu Search Search search About About expand_more OCCE History HMS Mission & Community Values Contact Resources Events Programs Awards Better Together Breadcrumbs Home Page not found The link has been broken or the page has been moved. We suggest...
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will work with applicants and their officer community managers to obtain orders. Our ideal candidate has a strong technical background in their field, can think critically and creatively about big
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thereafter. The position is for one year initially and may be renewed for up to two additional years, contingent upon funding and mutual agreement. The candidate will work closely with Professor Le Xie as he
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Details Title Postdoctoral Fellow in High-Performance Electronic-Photonic Integrated Circuits School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Electrical
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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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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
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, network telemetry, network security, network compression methods, and optimizing network performance for machine learning applications. The ideal candidate will be interested in both building real systems
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, network telemetry, network security, network compression methods, and optimizing network performance for machine learning applications. The ideal candidate will be interested in both building real systems