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to assess the scalability and usability of the processes/technologies that they have demonstrated in a laboratory environment, expanding on the breakthroughs and key learnings discovered. Number Of Awards 1
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Award summary 100% fees (Home & international), a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate), and a research training support grant of £20,000. Overview The PINZ CDT will train the next generation of process and chemical engineers, and chemists, to develop the new...
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system modelling framework (utilising SysML) that effectively represents human-machine teaming in uncertain environments. This research will employ a systematic approach to refine the representation
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nature of the funding. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members
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sponsor Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral
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%), but support over 10% of global biodiversity [1]. However, freshwater biodiversity has significantly declined in recent decades, recording greater species losses than terrestrial and marine environments
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to gain confidence in a safe and repeatable environment; and allow training anytime, anywhere, without complex organisation / scheduling. Non-Player Characters (NPCs) are used to bridge the gap between
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provide the necessary environment, to develop research that delivers both academic excellence and maximum industrial impact. You will be part of the Loughborough Rolls-Royce University Technology Centre
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an interdisciplinary project. About The Project DNA damage can occur in any phase of the cell cycle. Depending on the types of DNA lesion, chromatin environment and the cell cycle stage, cells employ different
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lot of interests and investments these days. Active perception of a surrounding environment through AI relies heavily on the design of architectures and their extensive training to generate compact