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Field
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on the grid is a global challenge, with countries and companies competing to be the first to achieve it. Successful, large-scale power generation using fusion will be a major step towards achieving Net Zero and
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reporting on how biodegradability is defined, measured, and communicated. This project seeks to address the gap in established methods for evaluating and communicating the biodegradability of textiles
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select *Loughborough* and select the programme ‘CDT Engineering Hydrogen Net Zero’. Please quote the advertised reference number *LU-EnerHy-2025-3* under the ‘Finance’ section of the application. To avoid
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conferences, expanding your network and gaining valuable experience in scientific communication. Supervisors: Dr Isabella Guido and Dr Richard Sear Entry requirements Open to UK nationals only. Starting in
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will then embark on coming up with a suitable design for a generic economic model and construct the model using their software of choice. This new generic model can then be demonstrated by using data
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developed a unique methodology and software to simulate and analyse the performance of gas turbine engines in the past half century. The research in this area at Cranfield will be a good starting point for
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research skills and networks among your peers and research academics. Entry requirements: Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in a chemistry related
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The successful candidate will work in a highly interdisciplinary environment as part of a vibrant cohort of HDR UK-funded PhD students, with outstanding networking opportunities with fellow students
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About the role Join the Stoneygate Centre for Empathic Healthcare as a Network Meta-Analysis (NMA) Research Assistant. Support ground-breaking research to determine which aspects of empathy training
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cancer using graph neural networks. Our current efforts extend this to additional cancers and modalities, such as multiplexed immunohistochemistry (mIHC), immunoflouresence, spatial transcriptomics and