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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics
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programme name, select ‘Electronic, Electrical & Systems Engineering’ and quote the advertised reference number ‘MA-2023-02584N’ in your application. Please submit a Curriculum Vitae (CV) and the minimum
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for the project. This could be through a module on your programme or by independent learning. Support will be provided to gain confidence and experience in GIS to be able to complete the project. Support: Students
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/ statistics / theoretical physics / computer science background to whom the project outline appeals are encouraged to directly reach out to Dr. Yihan Zhang. Full details on how to apply can be found here
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Research theme: Formal Methods How many positions: 1 This 3.5 year PhD is funded by the Department of Computer Science at The University of Manchester. The successful candidate will receive
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background in Computer Science, Mathematics. Students with interests in machine learning, deep learning, AI, uncertainty quantification, probabilistic methods are encouraged to apply. For eligible students
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University of Strathclyde will lead the wind energy training and research elements of the programme. Funded by ESB and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area
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In this project, different optimal control problems will be considered under a contagious financial and insurance market with regime switching and risk uncertainty. In the first chapter, an optimal portfolio choice and life consumption problem will be studied under a fragile financial market...
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will be complimented with a comprehensive cohort training and employability development programme. About this Project Year 1 MSc Course: MSc Robotics Year 2 – 4 PhD Location: University of Manchester
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testing and computational modelling. You'll become part of a diverse, multidisciplinary team that prioritises equity, diversity, and inclusion, gaining specialist expertise in hydrogen-material interactions