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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
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experimental and operational data, evaluating machine performance, and preparing high-quality technical reports for industrial partners. The Research Fellow will also be expected to contribute to the wider
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academic teams to align marketing efforts with client needs. You will combine strong analytical skills with creative flair, using data to optimise performance and help drive engagement and lead generation in
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research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
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. You’ll be confident engaging with senior‑level stakeholders, translating product knowledge into compelling value propositions, and using data to inform decision‑making and identify opportunities. You will
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30 Mar 2026 Job Information Organisation/Company Cranfield University Department HR & Development Group Research Field Engineering » Aerospace engineering Researcher Profile Recognised Researcher
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new role within our Student Systems Team, to provide technical development and analytic expertise across strategic development and core operational support of the student information management systems
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transfer, thermo-fluid systems simulation and programming, as well as exposure to software platforms and algorithms for Artificial Intelligence, Machine Learning and Data Analytics. You will have experience
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23 Mar 2026 Job Information Organisation/Company Cranfield University Department HR & Development Group Research Field Engineering » Aerospace engineering Researcher Profile Recognised Researcher