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Position Description The John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks applicants for a postdoctoral fellow in Computer Science/EE, specifically in the area of power and AI systems
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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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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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in neural interfacing. Projects involve peripheral nerve regeneration, mechanoreceptor-specific targeting, and surgical reconstruction for prosthetic interfacing. Deadline for application: Apr 15, 2025
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oceanography of the Southwest Greenland shelf as part of the Overturning in the Subpolar North Atlantic Program (OSNAP, www.o-snap.org ). The postdoc is expected to work with a variety of data (moored, vessel
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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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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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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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computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators
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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