99 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Imperial College London in United Kingdom
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findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is...
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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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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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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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, chemical, biological or computational science, an interest in theoretical modelling and curiosity about engineering complex biological and biochemical systems. The opportunity to study for a PhD at a world
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on industrial datasets and align with drug-development questions A PhD and equivalent experience in Biomedical Engineering, Computer Science, Data Science, AI/ML, Computational Biology, or a related field
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We are seeking an outstanding Postdoctoral Research Associate to contribute to a high-impact research programme focused on decentralised systems and distributed ledger technologies (DLTs) in
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Division help manage one of the largest built estates in the University sector and delivers a comprehensive range of services to an academic community who are world leaders in the provision of Engineering