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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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Motivation: Soft and flexible materials (e.g. polymers, hydrogels) have revolutionised many areas of science and technology ranging from flexible electronics to soft robotics. Scientists now predict
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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, or intervention using electronic, mechanical, or smart material systems. This particular PhD studentship, based at the School of Engineering, University of Birmingham, focuses on developing a microfabricated
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Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
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for Cardiovascular Medicine’ in the research proposal box. Questions regarding the application portal should be directed to pgr.sst.enquire@city.ac.uk . Please also email the following documents to Dr Varela: A CV
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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Funding: School of Computer Science studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email
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for Cardiovascular Medicine’ in the research proposal box. Questions regarding the application portal should be directed to pgr.sst.enquire@city.ac.uk . Please also email the following documents to Dr Varela: A CV
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vacancy of a technical nature, please contact Prof. E. Mastorakos (em257@eng.cam.ac.uk ). If your query concerns the application process, please contact: Mrs Kate Graham, email kag1000@cam.ac.uk . Please