109 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Imperial College London
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and centres and the School of Convergence Science. Recruitment is open to expertise in all relevant areas including those with data and computational science expertise looking to both embed in medical
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learn about some of our projects at the following link: https://www.imperial.ac.uk/research-and-innovation/support-for-staff/imperial-projects/project-successes/ You will work closely with the Head of
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Disclosure and Barring Service (DBS) check, at the appropriate level,will be required for the successful candidate. Further information about the DBS disclosure process can be found at http
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retention across the Dengue and Zika Immunology and Genomics Multi-Country Network (DeZi Network). DeZi is a new Wellcome Trust-funded programme, delivered with the World Health Organization, national
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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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harness the convergence of AI with other frontier technologies — including quantum computing, engineering biology and advanced materials science. You will play a defining role in positioning Imperial
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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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leverages its world-class science and technology base and international networks to anticipate and harness the convergence of AI with other frontier technologies — including quantum computing, engineering