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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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systems, and ideally some exposure to macOS or Linux A calm, methodical approach to resolving problems, even when under pressure Strong communication skills and a clear, approachable manner when working
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record, and leadership. A PhD in a health-related discipline is essential; a PhD in Psychology would be an advantage, and understanding of qualitative approaches will be useful. You will have excellent
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: Learning and implementation of project and commercial management tools and techniques. The successful AI engineer will have the following skills, experience and attributes: PhD or equivalent professional
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role will continue to establish and grow The Pre-hospital Research and Audit Network (PRANA). PRANA is creating an end to end research ready database. Currently there is no method for undertaking
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enquiries relating to deliveries. Practical knowledge may have been gained through some or all of the following: work experience, Formal qualification(s) equivalent to Level 2 or 3 of the Regulated
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from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of PhD. Prior to the qualification being
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. To be successful in this role, you will have: A PhD (or nearing completion) in Physics (e.g. atomic physics, quantum optics, or solid-state physics) or closely related fields. Proven expertise in
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create an inclusive work environment. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title
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, using your troubleshooting skills to see them through to resolution What you’ll bring A genuine interest in technology and how it works A logical, methodical approach to problem solving The ability