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candidates should have a major in electrical engineering, computer science, or applied mathematics. A background in electric power systems modeling and simulation and data analytics and machine learning
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the results of these studies to the community. Required Knowledge, Skills, and Abilities: Degree in Computer Science, Engineering, or related STEM discipline, and a minimum of Bachelor’s and 2+ years
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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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and imaging x-ray tools, supported by computational resources for high-throughput analysis and modeling. The program’s scientific focus is to understand and optimize the structural and chemical features
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the large language models, and multi-modal Foundation Models; ML models for computer vision (CV) and natural language processing (NLP) related tasks; and techniques applied to the scientific discovery, i.e
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Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and utilizes
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, detailed 3D modeling and design, design and safety reviews Work closely with scientific staff as well as other engineering groups to develop solutions to complex problems and integration issues Prepare cost
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hands-on with mechanical equipment, and collaborating with a team to develop and build unique equipment. Demonstrated ability with 3D Computer Aided Design modeling software. Ability to perform mechanical
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The National Synchrotron Light Source II (NSLS-II) at Brookhaven National Laboratory seeks a leader for the Spectroscopy Program within the Physical Sciences & Research Operations Division
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foundational ML and NLP innovations. This work involves the development and applications of encoding and generative NLP models (e.g., large language models, LLMs), and includes model training, tuning and