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(OxCSML) research group, with responsibility for managing the computational infrastructure, enabling large scale research implementation and experimentation for the project team, and collaborating
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford
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to analyse large-scale administrative datasets. Proficiency with statistical software such as Stata, R, or Python for data management and analysis. Strong written communication skills, including the ability
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analysing Cortically-Embedded Recurrent Neural Networks (CERNNs) that simulate large-scale neural dynamics during cognitive tasks. These models integrate species-specific neuroanatomical constraints to enable
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for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford. The post is only available as full-time. However, we can discuss flexible working hours (e.g. starting and finishing earlier in
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) in Physics or a related field. Previous experience in cosmological simulations, analysis of cosmic microwave background and/or large-scale structure datasets, machine learning methods applied
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the assessment of mental health, cognition and brain injury, with applications to athletes and sports-related injuries. This includes contributing to one or more projects that include: 1) leveraging large scale
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experience in cosmological simulations, analysis of cosmic microwave background and/or large-scale structure datasets, machine learning methods applied to cosmology, or theoretical modelling of cosmological
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silicon technologies and/or participation in large-scale detector projects would be advantageous. For appointment at the higher advertised grade, applicants are expected to demonstrate an established
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Network to evaluate the long-term effectiveness and implementation of Creating Active Schools in Bradford. You will co-coordinate large-scale quantitative data collection, lead a field team, engage schools