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. Ideally you will also have experience in numerical modelling and analysis, particularly in optimisation and/or complex mechanical systems simulation, as well as having a solid understanding of aircraft
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voices from the margins Contact point for inquiries: Professor Azadeh Fatehrad (A.Fatehrad@tees.ac.uk ) Expressions of interest The significant support of the host institution is a critical component of
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Advisory Group (LEAG), and local implementation teams at all five participating NHS Trusts. The Fellow will lead the day-to-day coordination, delivery, and analysis of two rounds of implementation evaluation
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turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and the ability to analysis and
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use of critical materials and increase the productivity of ‘Re-X’ manufacturing processes. You will design, implement, and test robots for advanced disassembly of robotic systems to enable component and
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months and won't be beyond 31st March 2027. Your skills and attributes for success: PhD in Neuroimaging (awarded or imminent) or equivalent Experience in neuroimaging analysis Understanding of chronic
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experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance the application of digital technologies. This approach supports the transformation
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detection data analysis and reporting. Conduct financial modelling (carbon analysis, cost-benefit assessment) and economic analysis of low-carbon technologies for domestic buildings. Conduct site visits
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statistical analysis skills. Previous experience of working with microbes is essential, with experience of yeast, and especially Candida species, highly desirable. This full-time fixed-term role is available
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leaders from the University of Stirling and Aberdeen and the wider academic team to design and implement social analysis of the cases including regional profiles, interviews and workshops on place-based