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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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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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-year Research Associate or Research Assistant post in Computational Modelling of Cardiac Diffusion Tensor Imaging is available to further these methods. This project forms part of a BHF and EPSRC funded
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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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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 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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– 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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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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conferences. You will have access to engaging professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career