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on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in
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emissions regulation. Key tasks: Designing survey experiments that test whether S-R affects public support for stricter government regulation. Developing experimental treatments. Managing data collection in
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-tracing methodologies to analyze how business actors attempt to influence policymaking and public opinion. Gather and analyze archival data, media sources, policy documents, and corporate reports
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on how accountability could be ensured for victims of mercenarism. MERCURY focuses on this accountability void, combining (1) cutting-edge, data-driven mapping and analysis of mercenary operations with (2
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by
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about career paths at DTU here . Further information Further information may be obtained from Professor Yifeng Zhang (yifz@dtu.dk), and the section head Wenjing (Angela) Zhang (wenz@dtu.dk). You can read
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, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses on regulatory
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and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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, proteomics, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses