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employees and contractors. This role balances data driven decision making, stakeholder engagement, and operational excellence to advance institutional priorities, access, safety, sustainability, and customer
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of Distributed Mixture-of-Experts (MoE) and Small Language Models (SLMs) to create autonomous, intent-driven networks. This isn't just about connectivity; it’s about building a collaborative, agentic ecosystem
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-driven decision making and operational improvement. Provides expertise in data science, statistical modeling, and machine learning to solve complex problems and deliver measurable value. Ensures alignment
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intersection of solid mechanics, constitutive theory, and data-driven modeling, while contributing to fundamental advances in soft material mechanics and developing transferable skills applicable to a broad
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curATime (Cluster for Atherothrombosis and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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positioning Utah as a national model for AI- Driven education and workforce readiness. The Director will architect and lead a statewide effort to integrate artificial intelligence (AI) into teaching, learning
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instrumental in positioning Utah as a national model for AI- Driven education and workforce readiness. The Director will architect and lead a statewide effort to integrate artificial intelligence (AI
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instrumental in positioning Utah as a national model for AI- Driven education and workforce readiness. The Director will architect and lead a statewide effort to integrate artificial intelligence (AI
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of the two types of SAACD. This project will involve formalising and integrating the contributions of : (i) model-based and data-driven systems engineering (MBSE), (ii) embedded frugal (explainable and robust