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FEM technique to quantitatively characterize amorphous materials, with high spatial and temporal resolution. • You will be part of a team performing experiments to lead the discovery of key physical
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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
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and performing x-ray measurements at NSLS-II. Examples of target areas include (but are not limited to): (i) characterization of defects due to electromigration effects in high-current density
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latest Airy-scan super-resolution confocal microscope; NSLS-II’s X-ray-based microscopes; CFN’s single molecule FLIM/FRET system; LBMS’s electron microscopes for cryo-EM tomography; and high-performance
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chemistry, EUV exposure mechanisms, high-resolution patterning performance, and dry-etching characteristics of the synthesized hybrid resists by utilizing electron beam lithography (EBL), low-energy electron
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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 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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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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Lab and to maintain the expertise and facilities in specialized high technology areas essential for this work. Development of facilities is motivated by present Brookhaven research programs and
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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