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Apply Now Job ID JR101405Date posted 09/12/2024 The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates
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. In the second, quantum computational modalities informed by quantum information theoretic approaches will be developed to describe the non-equilibrium dynamics of such rare-earth materials. Essential
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at the Computational Science Initiative (CSI), within the Brookhaven National Laboratory. The selected candidate will collaborate on solving inverse problem, relevant for interference lithography process, by deploying
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Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics) awarded within the last 5 years. Strong
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investigators. Position Requirements Ph. D. in theoretical or physical chemistry, or a related field Extensive experience in one or more of the following areas: Computational modeling of homogeneous
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these applications to inform new foundational ML and NLP innovations. The position provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing
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of research include quantum transduction technology for interfacing with cryogenic quantum computers; quantum sensors, with applications in astronomy and high energy physics; and improved, device-independent
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and uses these applications to inform new foundational ML and NLP innovations. The position provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE
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Responsibilities: Design of high-frequency application-specific integrated circuits (ASIC) in modern CMOS process nodes (65 nm, 28 nm) Design of high-frequency printed circuit boards (PCBs) and antenna arrays
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Engineering, Nuclear Engineering, Physics, or equivalent discipline Knowledge of analog, digital and mixed-signal circuits Hands-on experience in printed circuit board schematic and layout designs Hands