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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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. The program involves close collaborations with experts in theory and data science and will benefit from frequent interactions with principal investigators at the National Synchrotron Light Source II (NSLS-II
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for highly motivated postdoctoral researchers to conduct advanced electron microscopy studies on quantum materials for neuromorphic computing. The primary objective of this research is to explore quantum
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Apply Now Job ID JR101446Date posted 09/26/2024 The AI/ML Department of Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a
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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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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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. 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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Preferred Knowledge, Skills, and Abilities: Ability to program and use modern field-programmable gate array (FPGA) development boards, such as the Xilinx RFSoC series Knowledge of both the mathematical
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, and readout electronics. POSITION DESCRIPTION Experimental and practical Quantum Information Science and Technology (QIST) is a key area of R&D for BNL. The successful candidate will join a fast-growing