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Job Description The Department of Computer Science at Virginia Tech will be hosting a Postdoctoral Associate. This postdoctoral researcher will work under the supervision of Prof. Ali Vakilian
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at New York University Abu Dhabi seeks to recruit a motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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beginning May 2025 to conduct research under the supervision of Prof. Nick Laneman and collaborating with other leading faculty in the ND Wireless Institute and SpectrumX, the NSF Spectrum Innovation Center
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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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://martilab.com/ . Trains under the supervision of Prof. Edward Marti including (but not limited to) the following activities: Build and optimize ultrasound rigs and imaging of neonatal and adult rodents (mice and
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under the supervision of Prof. Edward Marti including (but not limited to) the following activities: Build and optimize ultrasound rigs and imaging of neonatal and adult rodents (mice and rats). Develop
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through the Stanford Impact Labs Postdoctoral Fellowship Program (link is external) with Profs. Irene Lo, Itai Ashlagi, and the Stanford Impact Lab on Equitable Access to Education Postdoctoral Fellow