138 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Imperial College London
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or (or equivalent) for appointment at Research Assistant level and have previous experience in power engineering with emphasis on power system dynamics, analysis and control dominated by renewable generations
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We’re seeking a talented and motivated postdoctoral researcher with experience in cancer or chronic disease epidemiology and strong data analysis skills to join Professor Marc Gunter’s team
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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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Imperial College London | Child Support Agency, Northern Ireland | United Kingdom | about 11 hours ago
. To coordinate and distribute financial reports of the Group’s research portfolio, budgets and accounts, and take action where necessary. To assist with timesheet completion for research projects, using
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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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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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to graduation—across all programme types. Working within regulatory frameworks and alongside senior colleagues, you’ll help ensure decisions are correctly implemented and communicated. You will also lead core
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operations, and embedding streamlined, standardised methodologies across the organisation. A key part of your remit will be driving a major transformation programme that enhances procurement activity end
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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