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organic methodology. Key Responsibilities: Conduct routine lab research and data analysis in asymmetric transition metal catalysis. Mentor junior researchers and teach organic chemistry lab skills, oversee
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, fabrication materials and orbital environments. Using a small number of representative test cases, we will trial Machine Learning-based predictive methods to estimate material condition and indicative reuse
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with collaborators within the Astbury Centre at Leeds as well as collaborators in Sheffield, Essex and the Netherlands. You will have a PhD (or be close to completion) in Chemistry, Biochemistry
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single-cell and single-nucleus multi-omics, machine learning/AI, computational biology, and experimental validation to understand cardiovascular disease progression and identify novel therapeutic targets
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will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate. Key
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Espen Eidum 30th September 2026 Languages English English English Faculty of Engineering Science and Technology PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks Apply
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Espen Eidum 8th October 2026 Languages English English English Faculty of Engineering Sciences and Technology PhD Fellow in Distributed Acoustic Sensing for Arctic Railway Infrastructure Monitoring
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, knowledge useful to others beyond those who failed. This PhD project investigates failure in digital ventures: how and why digital startups stagnate and shut down, what their founders learn from
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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) of the highest level. • Drive to engage actively with Imperial’s thriving ecosystem of seminars, conferences and other events. • Background and motivation for undergraduate teaching and also to teach on one