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will be part of a team that already uses machine learning to improve online accelerator models and that develops correction algorithms for accelerator operations. This position is for a 2-year research
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roles in software development for EIC’s ePIC detector. The NPPS Group has an opening for an entry level staff position to work on ePIC software development. NPPS is currently active in ePIC detector
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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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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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distribution systems will be added to meet EIC requirements. The cryogenic system cools various superconducting magnets and various superconducting RF cavities throughout the EIC collider complex. Position