673 postdoc-in-thermal-network-of-the-physical-building Fellowship positions in United Kingdom
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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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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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Mission. You will deepen UKERC’s research capabilities, complementing existing strengths. You will build on a successful programme of activity focused on risk and investment in energy markets, working
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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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Spalding) as starting material to enzymatically produce terpene esters. The reaction scale-up will then be tested in a spinning mesh disc reactor. Reaction kinetics will be established for both batch and
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-writing and proposal-writing skills. Confidence in networking and strong relationship-building skills. Ability to apply and/or develop and devise successful models, techniques and methods in research and
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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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maritime logistics network. You will assist in the planning, coordination, and execution of the project, manage research resources, and contribute to the dissemination of research findings through
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Collaborations: Build productive networks with researchers and clinicians locally, nationally, and internationally to enhance the Centre's reputation. Secure Funding and Disseminate Findings: Apply for research
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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