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Invention initiative uses AI to fundamentally change the process of invention - from design, to simulation, to fabrication, to control - tackling challenges such as containing plasma, revolutionizing material
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other lab and center researchers, postdocs, and graduate students across disciplines. The researcher will contribute to the design and implementation of an applied research project to increase the speed
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Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for a Postdoctoral Research Associate. DDSS supports technical and methodological innovation in
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improve AI systems. Candidates should have recently received or are about to receive a Ph.D. or doctorate degree and have a strong interest and track record in designing, understanding, or engineering of AI
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skills in designing and executing research studies, superb analytic skills, and excellent organizational, interpersonal, and communication skills. The position is offered for 1 year, with the possibility
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computational foundation for the design of stellarators for magnetic plasma confinement. Our multidisciplinary team includes experts in physics, mathematics, and computer science, specializing in areas such as
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biology, cloning, instrumentation/device design (e.g. optics, microfabrication), quantitative light microscopy, and computational work or mathematical modeling would be useful. Princeton University is
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assembly of nanomaterials is a plus but not required. Essential skills for this role include the ability to design, assemble, and align optical setups built around femtosecond pulsed lasers, integrate
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graduate students across disciplines. The researcher will contribute to the design and implementation of an applied research project to increase the speed and scale of the ongoing sustainable energy and net
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are particularly encouraged to apply. Experience with climate model analysis and simulation, and processing/analyzing large data sets and model outputs is needed. Candidates with experience in designing and