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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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We are seeking a full-time Postdoctoral Research Assistant in the experimental study of hydrogen engine performance (heat flux) to join Thermal Propulsion Systems research group at the Department
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, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge in the operation of high-pressure high-speed tunnel/shock-tube facilities and associated instrumentation
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collaboratively with the Health Systems Collaborative at University of Oxford and the KEMRI-Wellcome Trust Research Programme (KWTRP) in Kenya. As a Postdoctoral Researcher, you will bring theoretical and practical
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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in Germany, to create powerful THz receivers. This outcome will not only create a step change in signal-to-noise performance but will allow scaling of the sensors to create multielement arrays
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis
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use human iPS cell models of cancer to complement what can be done in the fish. You will participate in the Ludwig Cancer Research funded research programme led by Professor Richard White to design and
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of appointment. This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation Photovoltaics.” This collaborative project
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to develop superconducting microwave interconnects and metasurfaces for distributed quantum networks, focusing on high-fidelity none-nearest neighbour entangling gates while addressing hardware overhead and