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experience with space propulsion systems will be seen as an advantage. This PhD studentship is part of the Rocketry Research, Teaching, and Training (R2T2) program and is an integrated doctoral programme, run
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to the fields of synthetic biology, bio-derived materials, and bioinspired design. The outcomes of this research will provide a foundation for understanding and replicating natural mineralisation processes
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background in psychology, neuroscience, cognitive science, or a related discipline, and a keen interest in cognitive computational neuroscience. You will join a vibrant and supportive research team with access
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stinging insects. The long-term plan for the Driver Programme is to extend the data science capabilities and capacity created, to other inflammatory mediated diseases. Scholarship Open to UK fee-eligible
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complete application for your chosen PhD programme by the deadline for your department (below). Section 9 of the application asks for your funding intentions. In this section, you should detail fully all
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should have: Undergraduate or Master’s degree in Economics or another quantitative discipline (completed by start date). Advanced programming skills in Python and either R or STATA. Willingness and ability
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This PhD project will focus on the development of scalable and sustainable dielectric deposition processes tailored for WBG semiconductors, with an emphasis on interface engineering to optimise
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period
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as Aeronautic and Aerospace Engineering, Biomedical Engineering, Product Design and Engineering (a minimum honours degree at UK first or upper second-class level). Experience in computational modelling