511 high-performance-computing-postdoc positions at University of Sheffield in United Kingdom
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Application Deadline: 19 September 2025 Details This PhD studentship is a part of Rolls-Royce sponsored research centre developing advanced control systems to enhance the performance and efficiency of new
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Improved reactor design and operation for the anaerobic digestion of biowastes School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Dr
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tools for nuclear reactor designs. This project is aimed at developing robust and high fidelity computational models to support advanced (generation IV) nuclear reactor designs by bridging gap between
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High speed photography to investigate surface wear and fatigue in railway rail and wheel steels School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof D Fletcher
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phenomena. The project will contribute to numerical method development as well as new understanding of flow physics and will make use of high performance computing (HPC) and advanced computational fluid
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immunohistochemistry, along with experience in fluorescent microscopy, image capture and Adobe photoshop are also essential. Main duties and responsibilities Carry out research/experiments. The main duty is to perform
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of religion, political philosophy and the history of philosophy, including non-Western philosophy. You will undertake a range of high-quality teaching, including the design and delivery of materials under
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address this, using high-fidelity simulations to reduce the costs and risks associated with real-world testing. We are seeking two highly-motivated and enthusiastic research assistants to join our team and
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address this, using high-fidelity simulations to reduce the costs and risks associated with real-world testing. We are seeking a highly-motivated and enthusiastic research assistant to join our team and
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is to perform studies on chick embryos, investigating hypothalamic development. Perform data mining of chick scRNA-seq datasets Participate in weekly project team meetings and attend relevant research