126 professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Imperial College London
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This role is part of the Julia Anderson Training Programme which provides individuals who are at the early stage of their career with hands-on experience working on projects or activities
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, programme directors and project teams, you will help coordinate planning and prioritisation, monitor progress and risks, and provide clear reporting that supports effective decision-making. You will also
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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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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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clinical care and research delivery within a dedicated multidisciplinary team. Working closely with Dr Dinesh Aggarwal and Professor Chris Chiu’s experienced human challenge team, you will: Champion
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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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– 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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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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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
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contribution and personal growth. You will play a central role in advancing clinical data infrastructure, data harmonisation, and integrative data science research, particularly at the interface between data