664 postdoc-in-thermal-network-of-the-physical-building Fellowship research jobs in United Kingdom
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(www.c4ts.qmul.ac.uk ) provides the framework for trauma sciences research that we believe will lead to a step-change in outcomes for trauma patients. We are also a member of the International Trauma Research Network
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impact activities. Ability to build and maintain professional contacts and participate in internal and external networks. A strong publication record reflective of career stage that is REF returnable and
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employment initiatives for people who experience complex barriers to employment’. This project will build a partnership to help us understand how to support people who experience complex barriers to employment
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: minimal-data capture, emphasis on skill-building – we talk about building technology to help people get off technology. Our lab operates within the School of Electronics and Computer Science, with strong
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audiences and make a lasting impact on sustainability decisions. The successful candidate will conduct high-quality, publishable research; develop new research projects; policy and business interactions; and
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a role model and fostering an inclusive working culture. Interact with both academic and industrial collaborators in the project teams, and building internal & external contacts and networks Help with
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techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and
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Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your
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individually, make a real difference. The role Applications are invited for a Research Fellow position to support the design of a predictive health management (PHM) module for a novel steer-by-wire system aimed
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical