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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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using real-world data. The post holder will work with large healthcare datasets, electronic health records, and registry data, while engaging with clinical and data science teams to represent statistical
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to study design, data management strategies, analytical approaches, and inferential analyses for observational and translational research using real-world data. The post holder will work with large
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. The Department offers an undergraduate programme in Digital Media and Culture, and MA/MSc programmes in Digital Culture & Society, Digital Asset & Media Management, Big Data in Culture & Society, Digital Economies
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designed to identify genetic and cognitive predictors of treatment response across large, well-characterised samples. The programme integrates genomic data with cognitive phenotyping, digital assessments
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growing team of researchers, including multiple academics, consultants, PhD students, and administrative staff. The Research Fellow will be responsible for building and expanding the net assessment network
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for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD level qualified in pharmacy/radiopharmacy
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information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area Understanding of (and