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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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Skip to content HARVARD.EDU About Mission / Vision People Annual Reports Contact Us Programs AWS Impact Computing Bias² Causal Inference CrisisReady Fellowships & Funds SPUDS Trust in Science See
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Programming skills for processing raw data (including text manipulation) Basic Qualifications Ph.D. in economics, business, or related field (all degree requirements must be completed before start date
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research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email mweber@seas.harvard.edu Applications will be reviewed on a
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and future), a CV, and at least two references. Applications will be reviewed on a rolling basis. For questions, please send an email to cpehlevan@seas.harvard.edu . SEAS is dedicated to building a
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Qualifications Special Instructions Applications should include a full CV, cover letter summarizing your experience, copies of up to 3 publications, and the names and contact information of 3 references who
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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for data analysis and visualization using Matlab or Python are expected. Special Instructions An application must include: 1. CV (including full contact information). 2. A list of publications. 3. Three
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his bioengineering lab are seeking a highly motivated postdoctoral researcher with a strong background in neuroscience. The ideal candidate will have extensive training in their Ph.D. program and be
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School of Engineering and Applied Sciences at Harvard University invites applications for a postdoctoral position in robot learning, beginning in September 2025, or soon thereafter. The position is for one