5 machine-learning-phd Postdoctoral positions at University of Cambridge in United Kingdom
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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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/ ). Your tasks will include data collection, analysis, write-up, and dissemination of ongoing and future research. Furthermore, you will play a crucial role in supporting and training PhD students and other
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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