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the area of electric power grids. Essential Duties and Responsibilities: • Perform cyber-physical system modeling and simulation for the power grid. • Perform research on power system dynamics and
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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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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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Collider (FCCee) and for the electron-Proton/Ion Collider (ePIC) at the Electron Ion Collider (EIC). This position combines the direct development of MAPS for FCCee with work on MAPS for the EIC and ALICE
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adaptation, prompt engineering and benchmarking, pipeline and external resource integration (e.g., retrieval augmented generation, RAG), and various downstream analysis tasks. The position combines data
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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model for behavior that reflects BNL Values and holds staff accountable. Required Knowledge, Skills, and Abilities: • PhD. in Chemistry, Materials Science, Physics, or other relevant field with 10 years
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applying such models to scientific or security problems. Experience working in multidisciplinary collaborations. OTHER INFORMATION: Initial 2-year term appointment subject to renewal contingent
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concept through computer aided analysis, detailed 3D modeling and design, and system interface efforts. Deliver all phases of the project work – design, engineering analysis, R&D, procurement and