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, work and live in a community which is supportive and inclusive. It’s important to us that all colleagues undertake activities that are aligned to both our values and commitment to EDI. We welcome and
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, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability evaluations, attacks
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colleagues undertake activities that are aligned to both our values and commitment to EDI. We welcome and encourage applications from those who are currently under-represented in our work force, including
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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partners to ensure alignment of research goals with user needs. This is a full-time post, and you will be offered an a fixed-term contract for a duration of 23 months. The desirable start date is October
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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are looking for a candidate interested in developing their own research questions in alignment with the interests and skills present in the research team. We are particularly interested in investigating how
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, metabolomics). Significant practical laboratory experience [e.g. nucleic acid extraction techniques (both manual and automated), developing real-time PCR assays and gene sequencing methods, ELISA. Being highly
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one peer-reviewed essay drawn from the CoastARTS project work and aligning with its aims and objectives. Contributing to one or more of the CoastARTS team’s joint publications or collaborative outputs