30 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Brookhaven National Laboratory
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experience with top-caliber scientists and access to state-of-the- art instrumentation. The CFN mission is advancing nanoscience through frontier fundamental research and technique development and is the nexus
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) *401(k) Plan *Flexible Work Arrangements *Tuition Assistance, Training and Professional Development Programs *Employee Fitness/Wellness & Recreation: Gym/Basketball Courts, Weight Room, Fitness Classes
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between these sub-areas. Essential Duties and Responsibilities: We are looking for a Postdoctoral Research Associate who is interested in the development of quantum algorithms and related quantum informatic
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to an advanced Laboratory Directed Research and Development (LDRD) project, "Machine Learning Steered EXAFS Fitting for Autonomous XAS Analysis," aimed at revolutionizing real-time analysis of X-ray Absorption
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and proposal ideas in collaboration with staff scientists, supporting both their professional development and the goals of the Laboratory. The appointment will be initially for two years, with
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Leave Programs (vacation, holidays, sick leave, paid parental leave) *401(k) Plan *Flexible Work Arrangements *Tuition Assistance, Training and Professional Development Programs *Employee Fitness/Wellness
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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/directives-documents/400-series/0486.1-BOrder-a/@@images
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record in geospatial AI as evidenced by publications Expertise with development of AI models Hands-on programming expertise Explainable, ethical AI Knowledge about vision transformers, self-supervised
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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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measurements and to guide future experiments. In addition, this position will contribute to the development of reusable computational workflows, data products, and analysis approaches that support broader data