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that is a global leader for transformational research and education in technology and management. Research Excellence Framework 2014 (REF) has recognised 81% of Cranfield’s research as world leading
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
connectivity requirements for ensuring reliable and seamless communication in managing a coordinated robot fleet. Connect across the robot-centric network to ensure high-fidelity synchronisation while performing
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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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systems (eCPS). The focus in this research is on analysing and managing agent behaviour for enhanced sustainability and resilience. The student will be presented with a chance to shape actionable solutions
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programming with Bash and Python is also required and previous experience of vertebrate and invertebrate genomes would be beneficial. The ideal candidate will be an independent researcher capable of managing a
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recently refurbished, state-of-the-art chemical biology laboratories at Newcastle University. The role may involve supporting the supervision and training of PhD students. Strong time management skills
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through excellent engagement, programming and outreach. RMT aims to encourage people to be 'more knowledgeable, creative, compassionate, motivated and confident in their ability to make a difference', and
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opportunities. Be mentored by internationally recognised research leaders Our cohort-based, 4-year scheme offers a distinctive PhD training experience. During this structured PhD programme, you will complete
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Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based