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Field
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) in a relevant subject (Physics, Chemistry, Materials Science, Chemical Engineering), experimental track record and willingness to learn. Home rate fees are fully funded. Applicants from overseas will
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desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration within interdisciplinary research teams. Application Process: To apply
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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled
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(Kerstin.Eder@bristol.ac.uk ). For questions about eligibility and the application process please contact: Engineering Postgraduate Research Admissions admissions-engpgr@bristol.ac.uk
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support our staff and students to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example
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supportive lab culture with flexible working practices Applications welcome from candidates from under-represented backgrounds Adjustments available to support candidates with physical disabilities
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gross salary) for 3 years An additional £2,000 per annum for consumables and travel Requirements The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics
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supercritical water systems to generate samples that will help optimise a process that will then be scaled into pilot and large scale pilot systems with partners in the consortium. Aim This project will focus
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. Ideal Candidate: You’re a highly motivated student with a first-class or upper second-class honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics, or a related field. Strong
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. Successful candidates should have a background in applied mathematics/theoretical physics/computer science or related discipline, alongside strong computational skills. Value: Home fees paid and stipend