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policy stakeholder meetings. - Plan, organise, and manage own workload to meet project deliverables and deadlines. - Commit to ongoing personal and professional development. - Contribute to education and
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university with a powerful civic mission, dedicated to addressing real-world challenges through research and innovation. As a Chancellor’s Scholar, you’ll benefit from: Expert supervision: Work closely with
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participate in a chalk talk to present their research plans. This process is designed to ensure a transparent, inclusive, and fair selection. We are seeking two early-career investigators with an outstanding
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Centre of Excellence for Net Zero Aviation Education, Training & Research, delivering impactful industrial and academic partnerships, future-proof skills, innovation, and leadership to achieve Net Zero
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to achieve the aim: To perform a market search and review existing solutions to understand market requirements for smart sensors for condition monitoring of low-speed bearings. To specify, design and develop a
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research centre and will be collaborating with researchers as part of a programme of research concerned with designing and evaluating technologies to reduce the carbon footprint of the health and care system
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designing and developing experimental equipment suitable for containing the liquids at the temperatures needed, as well as optimizing the quality of the data obtained, both through experiment design and
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the drivetrain. Alternative machine topologies such as axial flux, transverse flux, and homopolar designs offer unique advantages by enabling 3D flux paths, novel cooling strategies, and increased architectural
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. The ideal candidate will have hands-on experience in encoded library design/ screening or other selection techniques. A strong background in molecular biology, protein and peptide chemistry, next-generation
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technologies. Key Duties and Responsibilities Design and conduct scientific and engineering experiments on plant-based materials for medical manufacturing. Evaluate biocompatibility, mechanical robustness