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teaching five (5) classes/labs each semester and participating in departmental activities. The Gupta College of Science works to provide a premier and experience-driven STEM education to all its students
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modelling, data-driven approaches, and experimental validation. The project combines computational materials science with practical membrane design for electrochemical energy applications. PhD Position 1
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NIMSB Technology Platform Leaders:Data Science, Single-Cell & Spatial Omics, Proteomics/Metabolomics
. This role is ideally suited for ambitious, technology-driven scientists who wish to transform breakthrough technologies into impactful biological and biomedical discoveries. For more information on
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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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scoping to deployment and monitoring of production-grade models—with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and brings a strong
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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Engineering, Computer Science, or a related field. Accompanying Knowledge, Skills, Abilities and Competencies Excellent abilities in molecular modeling and simulations (molecular dynamics or Monte Carlo
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Development of an AI-driven generative 3D modeling framework". The main
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-doctoral researcher) to collaborate with the project “Human-centred, knowledge-driven NLP to ensure quality, integrity and transparency in a trustworthy digital ecosystem” of the Department of IT Languages
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The Theory and Modeling Group at the Center for Nanoscale Materials (CNM) seeks an outstanding Assistant Scientist to lead and support frontier research at the intersection of AI/ML, data