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to collaborative project planning Secondments at GSK to test models on industrial datasets and align with drug-development questions A PhD and equivalent experience in Biomedical Engineering, Computational Imaging
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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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cloud computing, recommending and implementing improvements to our infrastructure. The ideal candidate will be educated to degree level (or equivalent) in a Computer Science or a closely related subject
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engineering, or atmospheric science* Expertise in and passion for computational modelling and software development/engineering Expertise in cloud physics or contrails preferred but not required Creative problem
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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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greater societal engagement locally, nationally and globally, contributing to the realisation of Imperial’s new Science for Humanity Strategy. The work of the Centre will be shaped by the needs
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senior researchers from the School of Computer Science and Engineering (SCSE) , School of Electrical and Electronic Engineering and the Lee Kong Chian School of Medicine at Nanyang Technological
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leadership and more. Our new strategy, Science for Humanity, is unashamedly ambitious in seeking to maximise Imperial's potential as a force for good in the world. Our Imperial Class of 2030 programme will
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– and senior researchers from the School of Computer Science and Engineering (SCSE) , School of Electrical and Electronic Engineering and the Lee Kong Chian School of Medicine at Nanyang Technological
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help create the next generation of doctors and scientists—benefiting patients and populations globally. We are seeking a highly motivated individual to join our team as Programme Administrator (MBBS