133 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Imperial College London
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Are you interested in applying protein design tools to real-world problems? You will work on engineering proteins for optimised expression and nutrition. You will design and engineer proteins
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and
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science in the context of the wider world and to develop interdisciplinary approaches to learning and thinking. This programme includes a range of modules in the fields of Languages, the Humanities and
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, Medicine, Natural Sciences, Business Management, Research and Teaching. You will support the development and delivery of project strategies and policies, contributing to continuous improvement in project
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expected. The ideal candidate will hold a PhD (or equivalent experience) in Engineering, Computer Science, Mathematics, or a closely related discipline. They will have a strong foundation in one or more of
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quantitative estimates that can be reported in close to real-time. Indeed, you will not only develop and publish your own ground-breaking research on heat health impact attribution science, but also rapidly
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– this includes Research Software Engineers (RSEs) and technical professionals working in data and computing infrastructure / High Performance Computing (HPC) roles. Led by Imperial College London, the project is
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team, you will help ensure the smooth running of ECRI’s extensive programme of courses, events and tailored support, contributing to a vibrant and supportive research environment across the College. You
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of freshwater systems and are critical for understanding water availability and informing local and global decision-making. Your work will involve developing, testing, and applying novel computational methods