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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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current doctoral candidate. Applicants must be specialists in at least one of the following fields: political theory, legal philosophy, intellectual history, classics, ethics, political theology
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We are looking for an experienced researcher with expertise in the generation and analysis of quantitative education data to work in the Observatory for Mathematical Education ; a collaboration
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models) Proved experience in working independently and as
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the generosity of Trinity College, Cambridge, will be in one of the following subject areas: Pure Mathematics, Applied Mathematics, Computer Science, Mathematical Physics. 2. The Lumley Fellowship, endowed through
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About the role The main purpose of this position is to lead the computational and mathematical aspects of a BBSRC-funded project focused on engineering robust, modular, synthetic microbial
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EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 22 hours ago
» Biotechnology Computer science Mathematics Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country United Kingdom Application Deadline 18 Oct 2025 - 21:59 (UTC) Type of Contract Permanent
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models) Proved experience in working independently and as
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, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models) Proved experience in working independently and as part of a multidisciplinary team Evidence of strong