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PhD in Electrical and Electronic Engineering: Data-driven Industrial Condition Monitoring Award Summary Mid Sweden University and Newcastle University agree to fund a PhD student project for
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-class honours degree or equivalent) in materials science, manufacturing, mechanical engineering, metallurgy, physics, chemistry, or related fields. Ideal candidates will be self-driven, eager to learn CFD
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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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educational and/or natural science perspectives a strong interest in science education, disciplinary practices, and technology-enhanced learning. It is an advantage if you have a solid foundation in
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applications. Although some agricultural technology developers are already incorporating AI systems in their products to enhance the control and functionality, there are growing concerns about functional safety
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Mathematics Statistics Physics Management Science & Engineering (more...) Computer Science and Electrical Engineering
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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Job Description If you are looking for a research opportunity and a PhD position, here is a possibility at the Department of Civil and Mechanical Engineering, Technical University of Denmark
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relationship are discussed. On the one hand, AI is viewed as a tool that enhances individual cognitive abilities in decision-making tasks, while on the other hand, it is seen as an autonomous agent that can take
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Embark on a thrilling, fully funded four-year PhD journey, with an enhanced stipend of £25,726 per year, and deliver new evidence on how nature-based solutions can reduce the occurrence and mitigate