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auditing, explainable AI (XAI) analysis and data-flow mapping, on welfare-AI systems in the UK, Netherlands and Sweden, contributing to comparative insights and high-quality project outputs. They will
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The job details are shown below. For further information click on the link for the job description. An exciting opportunity has arisen for a 3-year Post-Doctoral Research Fellow to join a major new
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facilities, collaborative teams and strong translational impact. About You Applicants should hold, or be close to completing, a PhD in biochemistry, analytical chemistry, immunology, cancer biology or a
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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of human samples collected as part of this clinical trial must comply with the Medicines for Human Use (Clinical Trials) Regulations 2004 and will provide the primary endpoint data that will dictate
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, machine learning, or data analytics. As a proficient programmer (ideally Python), you will be curiosity-led, with exceptional communication skills, and thrive in a highly interdisciplinary environment. You
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Soft Matter and Wetting Group headed by Prof. Robin Ras
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. You will have strong analytical skills, including experience of analysing quantitative and qualitative datasets, conducting qualitative interviews, and using data management systems such as REDCap. You
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role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian