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, enhanced by machine-learning and data-driven analysis techniques. Additionally, the study will encompass electrically triggered events that mimic the voltage-based signaling of biological synapses
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genetic manipulations of metabolism. Integrate and interpret gene expression and other omics data. Devise strategies to redirect carbon from sugars into desired product. Collaborate with researchers from
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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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of existing ones for scientific applications; (ii) Large Language Models (LLMs) and multi-modal Foundation Models (iii) Large vision-language models (VLM) and computer vision techniques; and (iv) techniques
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reflectivity, and IR spectroscopy. Other Information: This is a 2-year Postdoc Assignment. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a
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Information: This is a 2-year Postdoc Assignment. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant
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and relevant data analysis. • Demonstrated experience in Python programming. • Knowledge of machine-learning algorithms. Additional Information: BNL policy requires that after obtaining a PhD
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to unique data sources, will ensure that the successful candidate has the necessary resources to solve challenging DOE problems of interest. The successful candidate will join a growing research group with
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facilities, as well as collaboration opportunities with domain scientists and security experts. Access to these platforms will allow computing at scale, and together with access to unique data sources, will
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of quantum information concepts Demonstrated ability in experimental quantum optics, basic laboratory skills Experience on cryogenics and superconducting devices Understanding coherent interaction and control