30 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" "St" research jobs at Imperial College London
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. - Ability to organise work independently and take initiative. - Strong written and verbal communication skills. - Advanced computing skills including cloud services. This role offers an excellent opportunity
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programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global
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programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global
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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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-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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You will engage in cutting-edge translational research that develops computational models for assessing cardiac biomechanics and for predicting outcomes in cardiac diseases. This includes (1) a
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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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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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of neuro-symbolic Computational Logic and Argumentation. The position offers an exciting opportunity for conducting internationally leading and impactful research in AI. The Research Assistant/Associate will
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will focus on new numerical algorithms that improve the computational efficiency of flutter constraint evaluations. By accelerating these evaluations, we aim to enable rapid flutter assessments, and