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Overview Join our major new inter-disciplinary NERC-funded project on biodiversity impacts ofurban climate change adaptation at one of the UK’s leading Architecture and Landscape schools. This role offers an outstanding opportunity to generate high quality research and innovation, assessing...
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
are seeking a motivated student with interests in developmental biology, disease modelling and drug discovery. This interdisciplinary project combines both wet bench work and computational work (bioinformatics
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Modelling and characterisation of chip formation and machining induced defects of nano-particle toughened Carbon Fibre Polymer Composites School of Mechanical, Aerospace and Civil Engineering PhD
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Identifying and implementing optimum information methods to promote understanding and engagement amongst populations regarding fusion energy and the engineering activities of a new fusion powerplant
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Enhancing Safety and Resilience in Emerging Technologies for the Net Zero Energy Transition School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom
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Additive manufacturing of functional materials for electrical machines School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Dr Alexander Goodall
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honours degree (2:1) (or equivalent) in Urban Planning and Design, Computer Science, Geography, GIS, Remote Sensing, Mathematics, Civil Engineering, Architecture, or Environmental Engineering. A master’s
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Heat transfer effect on nonlinear disturbances in transitional boundary layers School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Dr P Ricco
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. The ability to accurately model these molecules using computational chemistry is limited due to a lack of efficient Gaussian basis sets that systematically reduce errors as their size is increased. In