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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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PhD or equivalent professional qualifications and experience will be in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working
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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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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written, and verbal
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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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platform to improve food aid distribution within localities; estimating expected changes using systems dynamics modelling; preparing policy briefs and manuscripts for publication. This research position will
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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