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or international equivalent in an appropriate subject, including: biomedical sciences, medical physics. Further qualification such as an MRes is advantageous. If your first language is not English, you need
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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of Birmingham. The School is a vibrant community of researchers whose interests span a range of chemical disciplines. Application process: Interested candidates can contact Dr. Maguire (o.r.maguire@bham.ac.uk
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graduate entry requirements which include holding at least an upper second-class degree or equivalent qualifications in a relevant subject area such as mechanical engineering, physics, materials science, or
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process. Please quote reference NM46253 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from
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Campus, please visit http://www.hw.edu.my . For information about Purpose-Driven Education, please see our website: https://www.hw.ac.uk/malaysia/about/purpose-driven-education.htm Application Process
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to the application process. Please quote reference NM46253 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages
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learning (ML) techniques to gain new physical insights into fundamental questions about viscoelastic flows in both canonical configurations and porous media applications. ML techniques will be leveraged
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functional performance of the components and the key process parameters. The project will deal with the design of special process setups, testing its working principles and performances followed by
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process is poorly recorded and needs improvement. Aims and Objectives In collaboration with the Health Innovation Partnership, a modelling pipeline will be devised to cope with the challenges of data