17 engineering-computation-"https:"-"https:"-"https:" research jobs at Imperial College London
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Technological University (NTU) are seeking a Research Fellow or Engineer to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected
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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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undergraduate, Masters and/or PhD students. You are further expected to publish findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering
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, or even computational architectures. What we are looking for: Research Associate: hold a PhD (or equivalent) in Aerospace Engineering or a closely related discipline. Research Assistant: A first/masters
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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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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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strategy workshops, exploring the global implications of SRM research. What we are looking for: Research Associate: PhD in atmospheric science or physics, civil and environmental or aerospace engineering, or
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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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technology, education and training, surgical science, Health Policy, Design and Innovation for healthcare, Safety and Quality, and Antimicrobial Resistance (AMR). Key responsibilities in associated Hospital
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engineering and downstream analytical workflows. While experience in machine learning is welcome, you should have a background in strong data engineering, data management, and analytical skills, and sufficient