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Details Title Postdoctoral Fellow in Energy System Optimization and Digitization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description
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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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psychological attributes), as well as secondary data analyses in large scale ongoing cohorts evaluating biobehavioral mechanisms by which optimism may lead to healthier aging. Additional work will include
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psychological attributes), as well as secondary data analyses in large scale ongoing cohorts evaluating biobehavioral mechanisms by which optimism may lead to healthier aging. Additional work will include
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Harvard Office of Technology Development (OTD): Business Development Fellowship Eligibility: Harvard graduate students and postdocs Deadline Month: May Description: This year-long program provides
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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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Group is looking for a postdoctoral fellow with expertise in nanofabrication, integrated optics, nonlinear optics, and microwave photonics. The candidate will focus on design, fabrication, and
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seek an ambitious and creative scientist with expertise in cell culture, cell line engineering, organoid development, and experimental cell biology. The successful candidate will play a leading role in
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to optimize cellular performance. The Fellow will develop an independent research project aligned with the broader goals of the collaboration and will have opportunities to lead publications, make scientific
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry