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in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be in distributed database systems
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associated with the running of the project and the requirements of our funders. It is essential that you have a PhD in computer science, or equivalent professional qualifications and experience; ideally your
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smart cities. To be successful you will have: PhD in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related field with focus on speech processing, edge computing, TinyML
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic
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extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services
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You will be directly involved with the UNIFORM (UNIfying Grid-FOllowing And Grid-foRMing Control In Inverter-based Resources) project, a collaborative programme with four academic and industrial
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plans should be adjusted accordingly. There will be opportunities to supervisor multiple PhD students as a member of supervisory team. Applicants are required to have a PhD*, or equivalent professional
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an impact, apply to join our team! 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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Audition for Robots (ActivATOR)” under the direction of Dr Christine Evers. The position will be in the Vision, Learning and Control (VLC) Group, which is part of the School of Electronics and Computer
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requirements We are looking for a candidate who meets the following essential criteria: A PhD (or be close to completion*) in Biotechnology, Engineering, Microbiology, or a related field or equivalent experience