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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and
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to collaborate with other faculty members in the Condensed Matter Theory group, as well as interact with BNL scientists across disciplinary boundaries. The postdoctoral researcher is expected to conduct original
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closely collaborate with leading experimental and theoretical groups from materials synthesis and device performance measurements to structural modeling in C2QA. Essential Duties and Responsibilities: As a
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learning Broad familiarity with geospatial programming libraries Preferred Knowledge, Skills, and Abilities: Non-LLM foundation model expertise Time Series Foundation Models Expertise with Graph transformers
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational
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operate in the research group of Dr. Andriy Nevidomskyy, with opportunities to collaborate with other faculty members in the Condensed Matter Theory group, as well as interact with BNL scientists across
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country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory. Equal Opportunity/Affirmative Action Employer Guided by our core values of integrity, responsibility, innovation
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they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory . Equal Opportunity/Affirmative Action Employer Guided by our core values of integrity
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veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National