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PhD Studentship: Improved Heat Transfer Understanding via Conjugate Heat Transfer, Co-Simulation and AI Approaches Research has shown that the development of gas turbines is critical to the success
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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integrity and durability of affected components and structures. The main challenge is assessing the transition between a relatively slow process of degradation and a rapid deterioration of structural
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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-mechanical behavior of bismuth-based alloy plugs during placement and cooling. Simulating the expansion process of the plug and its interaction with surrounding casing, cement, and formation under downhole
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of the power converters in collaboration with our industry partners. The candidate will have the opportunity to work with state-of-the-art tools for simulation and design power converter and advanced power
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partners. The candidate will have the opportunity to work with state-of-the-art tools for simulation and design power converter and electric machine and control the converter with advanced power electronic
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. Your competencies Prospective applicants should have the following qualifications: M.Sc. degree in wireless communications, communications engineering, computer engineering or similar; solid mathematical
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results accurately and draw meaningful conclusions to inform further research and process improvements. Background in modelling and simulation using simulation software. Background in Techno-economic
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Main description: Significant technological advancements in additive manufacturing (AM) processes, in tandem with the development of novel materials, have resulted in the commercialisation of non