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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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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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optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening
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Specification Essential Criteria: 1. Qualifications A good first degree in Computer Science, Artificial Intelligence, Data Science or a closely related discipline. A PhD in Explainable Artificial Intelligence
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candidate will hold a PhD in theoretical or mathematical physics, with knowledge of random matrix theory and/or its applications to theory of disordered/chaotic systems, and with some numerical skills
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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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. 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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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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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
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, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future generations of research and development professionals, data specialists, technology