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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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. Experience in plate-based high throughput assays. OTHER INFORMATION: Candidates should submit a CV, a brief description of how their research experience relates to this position (less than 200 words) in a
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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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and metabolic flux analysis. Knowledge and experience in Constraint-Based Modeling of metabolic networks. Experience in plant cultivation in growth chambers of green house space. Experience in the use
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procedures and effective completion of experiments in fixed time slots using national-scale central facilities. Other Information: While based primarily at Brookhaven National Laboratory, the position may
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United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https
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theoretical understanding and practical experience in deep learning-based machine learning. Strong research experience (e.g. evidenced by publication record). Excellent programming skills and in-depth
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) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning-based machine learning and natural language processing. Strong research experience (e.g. evidenced
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succeed. Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order
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Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov