8 condition-monitoring-machine-learning Fellowship positions at The University of Southampton in Uk
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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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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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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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Flexible batteries with seamless integration in textiles will revolutionize the healthcare system. Such batteries could power sensors to continuously monitor vital signals (e.g. glucose) and
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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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field. Expertise in composite materials and their behavior under different loading conditions. Experience with manufacturing techniques for composites (e.g., autoclave processing, additive manufacturing
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interventions for self-managing health conditions, and of contributing to the process evaluation of randomised controlled trials in health research, including qualitative and public involvement methods
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We are looking for an excellent communicator and researcher in the area of chronic pain, with substantial experience working with people from minority communities and those with health conditions