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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at the Department
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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R&D (6.8% of turnover in 2022) and material science expertise make it an ideal industrial partner. Candidate Profile We welcome applicants with a strong academic background (first or upper second
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materials. The computer modelling of LSP remains challenging due to its multi-physics and multi-scale nature. The dependency of the process on the shape of the laser pulse, its energy, ablation layers etc. is
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
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of Management is hiring a research assistant to support Finance, Accounting, and Economics projects. Working alongside another predoctoral assistant, the postholder will assist academics with data analysis
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to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking, and career development after the PhD. The faculty has outstanding facilities and works in partnership with
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invites applications from candidates with a robust foundation in data science, modelling, and/or engineering, and a keen interest in deploying data analysis and artificial intelligence (AI) to solve real
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or social care related subject. Experience of software development and/or data visualisation are desirable but not essential. Funding notes: This PhD scholarship is available for home students only