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is a key feature of the Electron-Ion Collider, and absolutely crucial for a large fraction of the physics program. The required degree of polarization is very high (70 percent), which requires careful
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artificial intelligence (AI) and machine learning (ML) methodologies and interested in advancing these tools for accelerating the analysis of the big data acquired by electron microscopy. • You work
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, the large international ePIC collaboration, and the Nuclear and Particle Physics Directorate’s EIC initiatives, all contributing to the new EIC facility. Reporting to the Physics Department’s EIC Group Leader
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portfolio. This position is responsible for gathering information, monitoring, reporting and ensuring that all projects within the EIC portfolio are delivered on time, within scope, and within budget
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efficient resource allocation, overseeing the development and coordination of preventative maintenance, as well as collecting and analyzing data to develop key performance metrics that drive continuous
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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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-1 Experience with cable systems in various environments including indoors and outdoors Experience managing a large-scale cable design and installation project Demonstrated ability to positively
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complex technical assignments, such as: • Maintain helium liquefiers, water cooling towers and D&I water system • Perform daily system checks and log data • Perform maintenance and repairs
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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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of direct reporting lines. Experience with state-of-the-art large-scale engineering projects. Project management experience. Possess effective coaching and mentoring skills. Experience in giving real-time