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Field
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modelling, and modern machine learning, the project aims to develop physically grounded methods for uncertainty quantification that are applicable across the full spectrum of Earth-system prediction. The post
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fusion related research is also desirable. Informal enquires are welcome and should be made directly to Prof Philip Edmondson (email: [email protected]) . The duration of the post is 12
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(Large Language Models, Convolutional Neural Networks, Machine Learning) for analysis and classification of data.
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/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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The University of Manchester is inviting applications for a Post-Doctoral Research Associate to lead the design of next-generation vision processor hardware. This role focuses on near-sensor
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this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry or
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of reactive force field molecular simulations, supervised machine learning techniques and understanding of mass spectrometry techniques. The post is available for 3 years from 1 September 2026. If you are still
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towards a shared goal. You will be responsible for the design and pilot testing of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research will
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, Isomap), manifold learning, and machine-learning classifiers to extract neural geometry metrics from both species. Systematically compare behavioural and neural data across mice and humans, identifying