7 modal-analysis-machine-learning 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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with physical objects/environments, and audio rather than video based AR can help enhance memory/learning Humanizing Computer Mediated Communication: Synthesizing co-presence - What does it mean to feel
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candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
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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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cell mechanisms, oversee preclinical validation, and advance CAR-iNKT platforms optimised for AML immunotherapy. The role bridges basic and translational research and suits a creative scientist with
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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