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Field
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will enable steel producers to rapidly predict and respond to live production conditions, supporting fast, intelligent decision-making to optimise process parameters, product performance, and operational
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and artificial intelligence. An important component of the PhD will be determining which combinations of approaches are scientifically useful, rather than applying AI or other computational techniques
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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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from Rolls-Royce plc. This fully funded PhD project, with support from a leading industrial partner, will explore the development of next-generation intelligent sensing and data analysis techniques
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evaluation, but we are primarily looking for a candidate with a strong background in computer science, artificial intelligence, applied mathematics, applied physics, or a closely related field, and with a
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conferences, and through journal publications. Desirable Knowledge or experience in Artificial Intelligence or hydrodynamics. Experience in teaching. How to apply If you have any questions, contact
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-low-power intelligent processing through event-driven computation, on-chip learning, and compute-in-memory (CiM) paradigms that significantly reduce data movement between memory and processing units
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around digital technologies for orientation and mobility and particularly the role of Artificial Intelligence in such systems. Undertaking this PhD as part of a larger project has several advantages. First
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conditions:•Master's degree in Bioinformatics, Computer Science, Artificial Intelligence, Bioscience Engineering or a related field, obtained by the start date of the contract.•Applicants must be doctoral
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grammatical resources into a digital network. The network will consist of lexical constructions (simple and complex words) and grammatical constructions (word-formation patterns), linked to one another by