511 high-performance-computing-postdoc positions at University of Sheffield in United Kingdom
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generation gas turbine based power stations, new and retrofit, leading to a substantial reduction in carbon emission to the atmosphere. This project will develop novel performance and/or techno‐economic
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technology that can applied to new and retrofit CCGT power plants, leading to a substantial reduction in carbon emission to the atmosphere in power generation industry. This project will model the performance
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has been used on large scale biogas plants but the optimal operation has not been fully investigated. Existing validated models will be used to design the process conditions to give optimal conversion
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. Aerodynamically, the overall performance of a wind farm is significantly influenced by the wind conditions and the arrangement of the wind turbines. The proposed research will focus on the aerodynamic design of
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of the aerodynamics of the turbine blades which have a significant impact on the efficiency of power generation, the level of noise produced and the durability of the wind turbine. Advanced computational fluid dynamics
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems
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Deadline: Applications accepted all year round Details Aero engines can suffer from deposition growth over time, resulting in suboptimal engine heat management, spray patternation and hot spots. This can
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Finding and measuring growing black holes in the next generation of astronomical surveys
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Computational Spectroscopy/Hydrogen-tunneling at elevated temperatures in the gas-phase
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Robotics, Biomechatronics and Control