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that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging,” and we love
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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experience, will work as part of a larger team to assist with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large
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Summer 2026 to work with our research group and under the direction of Raj Chetty , John Friedman , and Nathan Hendren . OI is a nonpartisan research and policy institute focused on improving economic
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. Willlingness to work with rodents is required, but prior experience in rodent work is not required. Prior experience in reproductive biology is not required. Contact Information: Contact Professor McKinley
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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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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral
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for a postdoctoral fellow position in the Mental Health for All Lab (MHFAL) at the Department of Global Health and Social Medicine at Harvard Medical School in Boston, Massachusetts. The work of the MHFAL
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relevance to cognitive decline and resilience. Anchoring deep individualized phenotyping, the work will involve a combination of brain imaging, biomarker assessment, and ambulatory behavioral assessments
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Position Description The successful candidate will work on using satellite observations of atmospheric methane to better quantify methane emissions on regional to global scales through inverse analyses