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to the EPSRC programme grant "Terahertz frequency devices and systems for ultrahigh capacity wireless communications (TERACOM)" (teracom.uk), EP/W028921/1. This is a collaborative project involving the
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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verification further advancing security and authenticity. In 2020 our pioneering solid-state CPL spectrometer (Nat. Commun., 2020, 11, 1676) triggered a paradigm shift in CPL spectroscopy that has been hindered
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materials employing PCR- and ddPCR- based techniques and Nanopore sequencing Sample management and communication of results internally Other general duties required are to ensure the smooth running of a
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Security Institute (AISI) called ‘WearAI: Examining the Societal Vulnerabilities Exposed by AI Embedded in Context-Aware Smart Wearables’. The AI Security Institute is a research organisation within the
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conduct interviews and focus groups, perform thematic analysis, conduct Delphi meetings, and ensure data is managed ethically and securely. You’ll also contribute to research outputs and support project
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of atherosclerosis and have the capacity to deliver high-quality research outputs. You will demonstrate good spoken and written communication skills, with an ability to clearly present results to multidisciplinary
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for medicine use before and during pregnancy. This postholder would work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in
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amplify the underlying potential of CPL and pave the way towards novel unclonable luminescent security inks. Harnessing the so far unexploited benefits of CPL detection would allow the broad communities
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, and enabling data-driven improvements in patient care. You will have opportunities to apply foundation models—including large language models (LLMs) to real-world clinical data. You will work with well