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collection via intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction
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Department of Mechanical Engineering at the University of Sheffield is one of the leading tribology and machine element groups in the UK with 6 academic staff and over 50 PhD students. The Centre covers a wide
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-based models (based on machine learning, agent-based, etc) primarily to: i. predict energy demand in multi-energy systems (airflow, electricity, heat) ii. dynamically manage building systems to maintain
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IELTS score of 6.5 overall, with no less than 6.0 in each component. How to Apply To apply for a PhD studentship, applications must be made directly to the University of Sheffield using the Postgraduate
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Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development. To find out what makes the University
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://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield). The position will focus on developing AI-guided tools for understanding brain processes and improving early detection of brain and mental health
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://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield). The position will focus on developing AI-guided tools for understanding brain processes and improving early detection of brain and mental health
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, applications must be made directly to the University of Sheffield using the Postgraduate Online Application Form. Make sure you name Jonni Virtema as your proposed supervisor. Information on what documents
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the EPSRC-funded "MicroBlast" project, colleagues at Sheffield University will perform scaled experiments to replicate the 2020 Beirut explosion, generating detailed, data-rich loading maps to supplement
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resilience. In particular, it will look at how inventory management practices may be improved, using methods from operations research and machine learning. It is well-aligned to Singapore’s “30 by 30” goal