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on operations. To support development of complex multi-layered systems and to inform rapid decision-making, this project will develop advanced Machine Learning (ML) architectures that learn directly from a
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Deadline for applications: 15th of April 2024 (or until the position if filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University
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for using machine learning methods. Candidates must hold (or be close to completion of) a PhD in Chemical Engineering, Mechanical Engineering, Material Science, Physics or other relevant major degrees. Apply
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an ongoing collaboration with researchers from UCL and the University of Edinburgh. For additional information, please contact Dr Xi Wang at [email protected]. When reaching out, kindly use the subject
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University, University of Edinburgh and Leonardo. We are pleased to invite applications for a PhD studentship to work as part of a leading team of experts. This studentship will be supported by an enhanced
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[email protected] Smart Products Made Smarter The PhD project forms part of a larger Prosperity Partnership Programme, Smart Products Made Smarter, a collaboration with Heriot-Watt University, University
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University of Edinburgh. For additional information, please contact Dr Xi Wang at [email protected]. When reaching out, kindly use the subject line '[PhD-Sim4Conv] - [Your Name] - [Your Current
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signal processing or machine learning technologies will be considered, as well as specific technical challenges. For example, projects in this theme will consider aspects related to: wide area motion
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Deadline: 31 March 2024 (or until position is filled) One fully funded PhD position to work with Dr Adriana Sejfia in the School of Informatics at the University of Edinburgh, on a project titled
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the Advanced Care Research Centre (ACRC) at The University of Edinburgh and be at the forefront of innovative solutions for promoting healthy ageing and future care for people in later life. You will