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Field
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while reducing waste, we are at the forefront of innovation. Moreover, employing advanced techniques like artificial intelligence and machine learning, we are revolutionising material production, making
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
artificial intelligence, machine learning, data analysis, or digital systems would be advantageous but is not essential. We value curiosity, problem-solving ability, and a proactive attitude toward learning
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predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence (AI) models present a promising alternative by addressing
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processing, preferably with regard to image processing using artificial intelligence, is required Experience with scoring of plant disease symptoms is a plus but not a requisite Equal opportunities and
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including: artificial intelligence, cybersecurity, additive manufacturing, advanced materials, functional polymers and soft matter, water resources and water technology, advanced transportation and vehicle
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Language Model, or Artificial Intelligence be used? The impact of this research will be to enable practitioners and the stakeholders of systems models to make objective assessment of model qualities using
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Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity
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candidate to undertake research in the area of cognitive networking for 5G/6G networks, with a focus area on connected and autonomous mobility. This research will explore how artificial intelligence can be
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new industries (virtual reality, platforms and artificial intelligence). Centre for Family Entrepreneurship and Ownership (CeFEO) Family ownership and family business, heterogeneity in family ownership