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Organisation Cranfield University School/Department School of Aerospace, Transport and Manufacturing Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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Organisation Cranfield University School/Department School of Aerospace, Transport and Manufacturing Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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organizations to integrate environmental sustainability into their operational processes without compromising their competitive edge. Cranfield is an exclusively postgraduate university that is a global leader
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Organisation Cranfield Conference Centre Limited School/Department Cranfield Conference Centre Ltd Based at Cranfield Campus, Cranfield, Bedfordshire Casual Bar Assistant Conference Centre Ltd Duties & Responsibilities include: Ensure that all guests are cared for in a professional and welcoming...
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Organisation Cranfield Conference Centre Limited School/Department Cranfield Conference Centre Ltd Based at Cranfield Campus, Cranfield, Bedfordshire Casual Waiting Person Conference Centre Ltd Duties & Responsibilities include: Ensure that all guests are cared for in a professional and...
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Organisation Cranfield University School/Department School of Aerospace, Transport and Manufacturing Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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3 Jun 2024 Job Information Organisation/Company Cranfield University Department HR & Development Group Research Field Other Researcher Profile First Stage Researcher (R1) Country United Kingdom
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and Manufacturing at Cranfield University sponsored by EPSRC and a UK defence prime. Human-machine teaming has become a critical topic with advancements in AI and autonomous systems, yet challenges
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. The researcher will join a diverse and inclusive team at Cranfield University that focuses on the development, integration and evaluation of novel aircraft systems and technologies with emphasis on Engineering Net
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Early integration of sensors for efficient SHM of aerostructure during their service. Using a mix of reactive machines and limited memory this project develops new fuzzy logic based artificial intelligence (AI) algorithms for SHM system integration. The research will focus on early...