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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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Details Title Postdoctoral Fellow in Geometric Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description A
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Details Title Postdoctoral Fellowship in Visualization and/or Machine Learning at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area
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Details Title Postdoctoral Fellow in Machine Learning and Design of Biological Systems School Faculty of Arts and Sciences Department/Area Science Division Position Description A postdoctoral
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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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Smith, is seeking a postdoctoral fellow to study human motor learning and motor control. The lab is in the Harvard Paulson School of Engineering and Applied Sciences. The fellow will design and run human
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management, cloud computing, machine learning, and algorithms for the Internet. Example topics of interest include but are not limited to the design and analysis of sketches and filters for use in real systems
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management, cloud computing, machine learning, and algorithms for the Internet. Example topics of interest include but are not limited to the design and analysis of sketches and filters for use in real systems
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. These include: Karen Lee Bar-Sinai: Bar-Sinai's group investigates the interaction between machines, landscapes, materials, and environments with the aim of reshaping how we design and construct with found matter
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research developed mathematical tools to efficiently represent high-dimensional biological data, with the goal of creating scientifically interpretable machine learning models. MAJ Nikesh Kapadia, USA Maj