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the span of the IN-CYPHER programme, we are seeking motivated researchers and engineers to join the IN-CYPHER programme. Unique in its scope, we are developing technologies that span embedded systems, and
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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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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work by developing a communications and dissemination plan, bringing together all of the inputs from the range of patient safety research projects to tell an engaging story about how this NIHR
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(ECRI), you will play a vital role in delivering high‑quality learning, development and support activities that empower Imperial’s early career researchers. Working as part of a collaborative and dynamic
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consistent focus on value for money. Providing senior leadership oversight on all procurement and contracting processes, including developing and executing category strategies, improving procure‑to‑pay
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and experimental validation. This will include applying and extending deep-learning approaches such as RFDiffusion and ProteinMPNN, developing in-house computational workflows, and carrying out
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on the use of microorganisms to convert renewable feedstocks into valuable products, contributing to the development of more sustainable biomanufacturing processes. You will provide practical technical support
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vision for impactful change. You will help drive Imperial’s bold and ambitious alumni engagement and fundraising campaign. Reporting to and working closely with the Director of Development: Principal Gifts
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? Are you passionate about societal engagement, and do you want to make an impact? This is an opportunity for you! In this role, you will collect evidence of health impacts from heat globally and develop