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language processing, historical linguistics, and computational humanities. The postholder will lead the computational stream of the project, which involves building a large corpus of Latin texts (data collection and
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be close to the completion of a PhD/DPhil in epidemiology, biostatistics or big data, along with demonstrable experience of working with population registers and large datasets. With proven
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large-scale data analysis, data mining and machine learning.�� Given the transdisciplinary nature of the team developing this programme, the role will primarily be based in CRASSH (the Centre for Research
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between the two linked studies as well as taking the lead in the large-scale qualitative secondary analysis of interview data from multiple sources. In this role you will be expected to contribute
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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We invite applications for a Postdoctoral Researcher to join the research group of Professor Christopher Yau ( http://cwcyau.github.io ) at the Big Data Institute, University of Oxford. This post
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, funded by the UKRI Frontier research grant titled “StochFields”. They will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so in
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, funded by the Simons Foundation grant titled ‘Simons Collaboration on Probabilistic Paths to Quantum Field Theory’. They will be expected to conduct research which falls within the remit of this large
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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward