ERC postdoc position on scalable experimental design, in Oxford, UK
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This entry was posted on August 8, 2025 at 12:25 am and is filed under Statistics, Travel, University life with tags Bayesian deep learning, Britain, data-driven algorithms, ERC, ERC Starting Grant, European Research Council, experimental design, Horizon Europe, LLM, machine learning, postdoctoral position, scalable MCMC, simulation-based inference, UK, UKRI, uncertainty quantification, University of Oxford. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.
![Opening of a postdoctoral Research Associate in the new Data-Driven Algorithms for Data Acquisition (DataAcq) project, developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics, funded by the UKRI Horizon Guarantee for an ERC Starting Grant awarded to Prof Tom Rainforth, University of Oxford. [Nota bene: I was not involved in the selection of that grant.]](https://i0.wp.com/xianblog.fr/wp-content/uploads/2025/08/temp-1.png?resize=450%2C329&ssl=1)
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