10 developer-"https:"-"https:"-"https:"-"UNSW-Science" Postdoctoral positions at DURHAM UNIVERSITY
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of natural earthquakes and numerical modelling to develop new insights into earthquake nucleation. The successful PDRA applicant will lead and contribute to laboratory experiments that investigate earthquake
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combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system development incorporating a range of decarbonisation technologies. This position is part of the EPSRC
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life cycle assessment of fuels. This post offers an exciting opportunity to make an important contribution to the development of the Department's research, while providing excellent opportunities
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combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system development incorporating a range of decarbonisation technologies. This position is part of the EPSRC
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associated with a project funded by the EPSRC. The post holder will be expected to display the initiative and creativity, together with the appropriate skills and knowledge, required to lead and develop
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. Atmospheric turbulence introduces optical link instability, which if not compensated, negate the advantages of the optical link. CfAI at Durham University has been developing Adaptive Optics systems for a
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with approximately seventy staff and research students. CfAI's mission is to design and develop novel instrumentation based on cutting edge technologies. CfAI develops state-of-the-art ground and space
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with approximately seventy staff and research students. CfAI's mission is to design and develop novel instrumentation based on cutting edge technologies. CfAI develops state-of-the-art ground and space
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and practice; and 2) shapes and develops educational research, research methodology and research capacity in the UK and internationally. This role would be research only, working on an externally funded
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water-flume data. Leveraging your strong background in high-fidelity simulations and mathematical modelling, you will use these combined datasets to develop a new generation of mathematically rigorous