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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
relevant field such as engineering, computer science, or applied mathematics. Experience or interest in AI, machine learning, or digital systems is beneficial. We welcome candidates from diverse backgrounds
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of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities
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Job Description DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of process
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Job Description Explore your passion for sustainability, creativity and science by joining the exciting Novo Nordisk Foundation CO2 Research Center (CORC). CORC has its main hub at Aarhus
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This PhD project aims to reduce—by approximately an order of magnitude—the time and computational effort required to evaluate point-defect energetics in technologically important mixed-anion
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be awarded a master’s degree in any of the following disciplines: Chemical Engineering, Physics, Mechanical Engineering, Energy Engineering, Environmental Engineering, Computer Science, or other
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Professor, Assistant Professor, or Associate Professor. This position is research intensive and is intended for an individual who will develop and maintain a federally funded, independent research program in
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vehicles. This offers a fully funded 4 years stipend and tuition fees at the Home status rate at University of Oxford under the supervision of Professor Matthew McGilvray & Dr Luke Doherty. Additionally