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The position is funded by the Open Philanthropy grant “Verifiably Robust Conformal Probes”. The project’s goal is to develop methods for latent probing (aka activation monitoring) of large language models (LLMs
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, epidemiological, and data science perspectives. The postholder will hold a PhD in Medical Statistics/Biostatistics, Mathematics, Computer Science, Epidemiology, or another quantitative discipline, and will have
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The Role The Department of Digital Humanities is a global leader in researching digital media, culture and society, and in exploring the use of advanced technology-related methods in humanities research
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will hold a PhD in Medical Statistics/Biostatistics, Mathematics, Computer Science, Epidemiology, or another quantitative discipline, and will have strong programming skills, attention to detail, and
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, searching/reviewing the literature, drafting reports, as well as helping and supervising MSc and PhD students, and liaising with collaborators to drive the work forward. Expansion of statistical input should
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; and 3) contributing to understanding what works in delivery of co-beneficial solutions. About you The successful applicant will possess a relevant PhD or equivalent qualification/experience in public
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-moving environment for a motivated and quick-learning applicant looking to pursue a career in policy research. We expect applicants to draw on many disciplines and research methods, making use
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at the time of application. This is a fixed-term non-renewable post for 2 years beginning on 1 September 2026. The Fellow will hold a PhD in music or a related humanities or social sciences discipline; have a
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, please note that we will accept no more than one re-application. If you choose to reapply you should set out clearly how your application has changed. Essential criteria 1. Higher degree (MD, PhD
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. The post holder will hold a PhD in Medical Statistics/Biostatistics, Mathematics, Epidemiology, or another quantitative discipline, and will have strong programming skills, attention to detail, and