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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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executing the foundational FAST-TRACK cycle. This involves manufacturing a diverse materials library, performing high-throughput characterisation, and conducting rapid manufacturing assessments
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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. • Build and lead a high-performing programme team, working closely with academic and professional services colleagues across divisions and central teams. • Shape and embed service design principles
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graphs, computer vision, and the digital humanities. The goal is to develop an innovative AI architecture that is flexible and extensible enough to serve as a knowledge representation framework for
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to assess feasibility and optimise performance under uncertain subsurface conditions. Two principal configurations are employed: closed-loop systems, commonly referred to as deep borehole heat exchangers
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experience and knowledge of the UK HE sector. Proven ability to lead and motivate high-performing teams. Experience of international collaboration and curriculum internationalisation. Strong communication
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England. Attracting and retaining high-calibre people is fundamental to our continued success. The Role We have an exciting opportunity within the transformation team for an experienced Transformation
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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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-efficiency rotary-piston expander, supporting prototype development and system-performance validation in collaboration with UK and Ukrainian partners. The successful candidate will conduct high-quality