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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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of TB this country. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security Agency (UKHSA). This is
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of Education, this is an excellent opportunity for a talented and motivated applicant to undertake an original and applied programme of research on the development of community-led approaches to mental wellbeing
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degree in statistics, computer science, data science or computational biology. Ideally, the applicant would have a background in both biology/biomedical sciences and statistics/data science. Applicants
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(usually chemical engineering or chemistry, or equivalent industrial experience, but please get in touch if you think your qualification may be relevant). Enthusiasm for research, the ability to think and
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engineering or a relevant area. An MSc degree and/or experience and good knowledge in gas turbine theory, thermodynamics, Machine Learning, and computer programming will be an advantage. Funding Sponsored by
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undertake ground-breaking research in the fields of impact engineering, shock- physics, and materials science, involving elements of both experimental and computational physics. You will be based at Begbroke
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, whose modular nature suggests limitless variability in their structure and chemistry. In a multidisciplinary research project involving the University of Manchester, Oak Ridge National Laboratory and IBM
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We invite applications for a fully funded four-year EPSRC iCASE PhD studentship at the University of Sheffield, offered in collaboration with SLB, a global leader in energy technology innovation
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for sustainable aerospace applications. By leveraging non-equilibrium reactive plasmas, PAC can modify flame chemistry, reduce emissions, and enable the use of alternative fuels in propulsion systems