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machine learning pipelines, with GPU-accelerated environments tailored to foundation model training, data harmonization, and predictive analytics. The Center is embedded within the UC Davis ecosystem, with
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Predicting EV behaviour in Future Electricity Systems School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Prof Solomon Brown, Prof Daniel
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at foreign educational institutions Other career-promoting work can be discussed and agreed Required selection criteria You must have strong competence in modelling, control, optimization or artificial
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the tender. Preferential factors: Previous experience in Building Information Modelling; Previous experience in quality control (QC/QA) in civil engineering and/or construction fields; Previous experience in
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Fotograf Morten Hjertø 20th January 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in maritime AI business models
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for corporations to help address issues such as climate control and health equity. Through our teaching, experiential learning, mentoring and career preparation, RBS is committed to producing skilled professionals
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
of excellence for outbreak analytics and disease modeling, named Insight Net. This position’s efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and
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permafrost regions. By combining field data with mathematical and physical modeling, this international project aims to advance our understanding of the impacts of permafrost thaw beyond ecological tipping
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development programs. The Office of Fusion Energy Sciences (FES) has four strategic goals: (1) Advance the fundamental science of magnetically confined plasmas to develop the predictive capability needed for a