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About us This post is within the School of Engineering and Materials Science, a large School with approximately 70 academic staff and around 45 postdoctoral research staff. There are around 1000 undergraduate and taught postgraduate students and 220 PhD students. Circa 40 administrative and...
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About us Queen Mary is one of London and the UK’s leading research-focused universities. With over 20,000 students, it is amongst the largest of the colleges of the University of London. Queen Mary’s 4,000 staff teach and research across a wide range of subjects in Science and Engineering, the...
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industry collaboration, and is driven by the opportunity to create real-world solutions to complex energy challenges. You will lead modelling, optimisation and feasibility studies, engage with collaborators
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part-time post (0.2FTE) ideal for someone working in industry or with industry experience. This is because we want to bring in expertise with data processing and machine learning pipelines, and their
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combining solar, wind, battery storage and next-generation digital and modelling tools. This exciting role would suit a researcher who thrives at the intersection of engineering, data science and industry
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availability. These contributions will be evaluated across several test beds, digital twins, and use-cases across different industry sectors. The successful candidate will be expected to collaborate closely with
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Miguel Ramos (social psychology, stereotypes). The project collaborates with the BFI, BBC, Channel 4, ITV, Sky and The TV Access Project, offering an exciting pathway for impact-led, industry-aware
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, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people
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students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in
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would suit a researcher who thrives at the intersection of engineering, data science and industry collaboration, and is driven by the opportunity to create real-world solutions to complex energy