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Edge Intelligence Job description About the job: You will be a highly productive, ambitious and collaborative member of National Edge AI Hub (https://edgeaihub.co.uk/) research project/team assisting in
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Engineer with strong experimental engineering expertise to lead the development of professional-grade demonstrator units suitable for deployment to external partners. We are looking for a hands-on
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become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS), contributing to word
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processing, analysis, and sharing. The successful candidate will have a strong foundation in software engineering, data engineering, and cloud computing, with a proactive attitude and eagerness to
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criteria: Have or be about to obtain a PhD in control theory or control engineering, applied mathematics, electrical engineering, computer science, cyber-physical systems or a closely related
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demonstrate that you meet the following essential criteria: Have, or be about to obtain, a relevant PhD in Electrical and Electronic Engineering/Computer Science (or related discipline) Good hardware
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your application should clearly demonstrate that you meet the following essential criteria: 1. Hold a 2:1 Honours degree in Electrical and Electronic Engineering, Computer Science, Mathematics or other
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General Pharmaceutical Council Have, or about to obtain*, a PhD in drug delivery/pharmaceutics/ engineering (*must be obtained within 3 months of commencement of employment) Experience of design and
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must have, and your application should clearly demonstrate that you meet the following essential criteria: A degree in Chemistry, Pharmaceutical Sciences, Materials Science, Biomedical Engineering or a
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fluorides. The successful candidate will take a leading role in materials synthesis and physicochemical characterisation, contribute to the development of calcination and powder engineering processes