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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 9 days ago
of solid state quantum magnetometers, mentorship of graduate student employees and/or summer students. Active participation in opportunities offered by JPL for continuing education, such as trainings
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to co-supervise a PhD student working in this project. We are looking for candidates who have: a completed PhD degree in physics, electrical engineering or similar field, excellent experience and
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representation and reasoning of quantum knowledge You will help coordinate project proposals in the field of theoretical computer science, in general, and quantum information and computation, in particular, and
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these platforms to advance research in optics, spin physics, and related areas of quantum science, while collaborating with faculty, researchers, and students across CQTS and NYUAD. The successful applicant will
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Department invites applications for postdoctoral and more senior research positions in two areas of computer science. 1) Quantum computing and quantum architecture and systems. 2) Reinforcement learning
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surfaces. This work builds on our ongoing, long-term research program centered on spin-split electronic structures of quantum wells—an area that has attracted significant attention in the context
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Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications a PhD degree in chemistry, physics, or a closely related field, with a strong emphasis on materials chemistry/engineering
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, quantum information) or closely related field, such as Electrical Engineering. Preferred qualifications Applicants whose PhD work included substantial experimental work with a focus on superconductor
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population of about 3,600 passionate students, the Faculty of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as quantum- and nanotechnology, photonics
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the Principal Investigator (Dr. Shengli Zou). Conduct advanced computational chemistry research with a focus on nanophotonics, quantum mechanics, and machine learning–assisted modeling and simulations. Prepare