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team, Excellent communication skills for collaboration with research partners. This position provides a unique chance for a highly motivated researcher to contribute meaningfully to innovative
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parameters (build orientation, resin choice, post-processing) and aerodynamic performance in wind tunnel tests. Develop an integrated performance model linking process data, 3D metrology, and wind tunnel
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About the Project Project details: This PhD project will involve the design and development of 'place based' indices and processes for measuring and improving human and planetary health and
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About the role Applications are invited for a Research Associate position within the Control and Power Research Group, working on a new research initiative focused on load modelling in power systems
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. An example can be found here . A minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project is our standard entry, however we place value on prior experience
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implementing engineering wake models in WRF or similar activities. Production data from simulations will be compared with grid data for validation. She/he will closely work with industry and policy makers
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Applications are invited for a Research Associate position within the Control and Power Research Group, working on a new research initiative focused on load modelling in power systems at grid supply
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requirements for our PhD programme . Skills in Python, C++ or ROS are preferred. How to apply Applications should be submitted via the Robotics and Autonomous Systems PhD programme page. In place of a research
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position in a ‘landscape of fear’. Objective 3: Develop spatially explicit models to predict how nest footprints combine to generate landscape-level variation in microclimate, carbon flux, and plant
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, etc. Start date: 1 October 2026 Additional Funding Information This PhD project is fully funded by the Leverhulme Trust and the University of East Anglia for 42 months. Funding includes tuition fees