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at the University of Birmingham, intends to investigate localised strain banding effects as they occur within several commercially applied SX superalloys, through numerous experimental techniques such as scanning and
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
an intricate balance of cellular interactions within human tissues, which can be perturbed by certain mutations to drive the emergence of cancer. This project will develop and extend the above computational and
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Strategic Joint Studentship University of Nottingham and University of Birmingham The Midlands Graduate School is an accredited Economic and Social Research Council (ESRC) Doctoral Training Partnership (DTP
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Midlands Graduate School Doctoral Training Partnership ESRC DTP Strategic Joint Studentship University of Nottingham and University of Birmingham The Midlands Graduate School is an accredited
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will be based at the University of Birmingham, where the successful candidate will work with people within the Schools of both Physics and Engineering. The successful applicant will be embedded in
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are able to operate with sufficient mechanical integrity up to temperatures of approx. 550 C. There is currently an intense effort in the UK, and also at international level, to develop advanced RAFM steels
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. The high-temperature limit for safe operation of FM steels of approx. 550C is governed by thermal creep strain effects and helium embrittlement. There is currently a strong thrive to develop novel Reduced Activation FM
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consortium of Arizona State University, University of Adelaide, University of Toronto, and within the UK, Universities Cranfield, Birmingham, Cambridge, Imperial College London, and Newcastle. The HyPT will
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(FCEVs). This research position is available at Birmingham CASE Automotive Research and Education Centre, University of Birmingham. Project Overview: The focus of this Ph.D. research is on advancing
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develop, apply and validate AI-based models (based on machine learning, agent-based, mixed-integer programming, etc) primarily to: predict energy demand in multi-energy systems (electricity, heat