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essential analytical, problem-solving, and data management skills, becoming indispensable assets in engineering and digital innovation. At a glance Application deadline27 Nov 2024 Award type(s)PhD Start
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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Industry 5.0 goals. Expect impactful insights into advanced technology integration and human expertise, driving sustainability through improved system performance. Students benefit from collaboration
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of data driven approaches further relies on the adoption potential and company readiness to use it. This observation likely opens an opportunity for social and behavioural sciences to enable transitions as
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for global industries, all while collaborating with experts in the prestigious International Systems Realisation Partnership. Furthermore, the student will gain invaluable skills in data analysis, problem
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Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit a student with an aerospace or mechanical engineering background. Experience
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17 May 2024 Job Information Organisation/Company Cranfield University Department HR & Development Group Research Field Other Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2
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postgraduate university that is a global leader for transformational research and education in technology and management. Research Excellence Framework 2021 (REF) has recognised 88% of Cranfield’s research as
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for the safe storage of munitions. Project Aim This research project, in collaboration with BAE Systems, will focus on collecting data and developing a model to accurately predict the shelf life of the munitions
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team. This apprenticeship offers a unique opportunity to gain hands-on experience in a world class chemistry laboratory, working alongside experienced scientists and contributing to real-world projects