6 machine-learning Postdoctoral positions at University of Cambridge in United Kingdom
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interactions in the condensed phase and at surfaces, with a particular emphasis on the development and application of first principles and/or machine learning approaches. Research in the Michaelides group
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clusters, biophysics, solids and surfaces, machine learning, quantum computing, and self-consistent fields. We develop new theory and associated computational tools, which are supported and distributed
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, Mendelian randomisation, and other statistical and machine-learning methods. The appointed researcher will have research interests aligned with those of our groups and the freedom to develop their own ideas
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lab members in advanced analysis techniques. The ideal candidate will have a strong research background in AI-driven human motion analysis, wearable robotics, and human-machine interaction. They should
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have recently been awarded a doctoral degree or expect to receive their degree in Economics or Computer Science by September 2025. Candidates should have expertise in machine learning, in combination
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aims to apply time-resolved machine learning to EEG and MEG data collected from non-speaking autistic people and neurotypical people while they listen to an audiobook, in order to study the hierarchy