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(tuition fees and stipend) to undertake a participating Master’s course at the University of Oxford. If selected, you will join a dynamic world-class cohort of high-achieving and adaptable individuals who
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-oriented education ensures that our students are equipped with the skills needed to excel in a rapidly evolving global industry. Join our dynamic Graduate Office and play a pivotal role in shaping
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the Department of Chemistry to develop innovative strategies for generating Machine Learning Interatomic Potentials (MLIPs) that accurately capture the dynamic nature of metal-ligand interactions. These models
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the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for submanifolds and their temporal dynamics during behavior Leverage dimensionality reduction and
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submanifolds and their temporal dynamics during behavior Leverage dimensionality reduction and regression models to isolate task-related submanifolds and their respective role for sensory processing and task