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Field
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this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert knowledge of deep
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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and
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and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background
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-of-the-art MRI scanners (including one new 7T scanner) as well as MEG (Elekta Neuromag TRIUX 306-channel system). If you are at the end of your PhD and expect to defend your thesis within 6 months (and may not
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states, charge density waves, superconductivity, and quantum magnetism - Kagome materials and superconducting hydrides - Machine learning interatomic potentials (MLIPs) and data-driven atomistic
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transcript showing proof of PhD; or intended completion date, which must be confirmed in a separately submitted letter from the current PhD advisor (can be in a reference letter) Research statement Maximum 3
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filtration, chromatography for separations of complex lignin-derived streams (simulated moving bed chromatography and counter-current chromatography), and recovery of pulping chemicals. We encourage candidates
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
at the land-atmosphere interface or mapping soil mineralogy and organic matter content. Data and Methodology The project will leverage NASA’s imaging spectroscopy archives and current activities. Candidates
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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, machine learning, etc. Building a quantum computer requires a multi-disciplinary effort involving experimental and theoretical physicists, electrical and microwave engineers, computer scientists, software