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challenges in the area of hazard assessment and impact forecasting. The aim of the project is to develop methodologies for forecasting future energy use for various assets and weather scenarios from short term
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back boundaries and set a course for the future – a future that you can help to shape. The A-PECS research group at the Department of Bioscience Engineering in the Faculty of Science and the Quantum
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The project: For more than a decade, the University of Bristol has been at the cutting edge of bicycle driveline testing technology. We have partnered with Team GB for the last three summer Olympic
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pathophysiology Basic expertise in toxicology (e.g. through DGPT training courses or relevant study or work experience) Experience in the establishment of test systems Full job description: https://www.bfr.bund.de
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. You should have obtained, or be about to obtain, a PhD in Computer Science or a closely related field. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30
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-small silicon nanocavities [Babar2023, Rosiek2023] with extreme light-matter interactions. We aim to combine fundamental theory, device design, and our unrivalled capabilities in high-resolution silicon
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo (School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025
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hydrogen carrier (LOHC) perhydrobenzyltoluene. Your task will include: Planning and commissioning of a test rig for the dyhydrogenation of loaded LOHC Targeted deactivation of the catalyst materials under
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of these terms encompass a range of evidence-based strategies for dealing with distress in the short to long term (Mansell et al., 2020). The course gives them experience in using many of these strategies live and