7 modal-analysis-artificial-intelligence Fellowship positions at The University of Southampton
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implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
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Healthcare Digital Twins. This role offers an exciting opportunity to contribute to the fast-growing field of Artificial Medical Intelligence. The successful candidate will design and develop advanced AI/ML
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modelling and eigenmode analysis for photonic crystals; terahertz far-field spectra measurements or near-field scanning spectroscopy. In this role, you will join an interdisciplinary research group
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Astronautics! We are seeking a talented and motivated Research Fellow to contribute to a fully-funded project focused on advancing the computational analysis and manufacturing of these critical materials. Who
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project meetings, workshops and conferences. You will contribute to the activities of the Intelligent and Resilient Ocean Engineering chair . We offer a generous renumeration package, an attractive research
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quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG
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. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able