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signal processing and both time-series and frequency domain analysis of physiological recordings including ECG and nerve recordings. This data is used to investigate the cardiovascular effects of altered
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The Faculty wishes to recruit a Postdoctoral Research Fellow to participate in an EPSRC Impact Acceleration Account (IAA) Impact Visionary Fund project entitled ‘Monitoring physiological signals via
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, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities
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-supervised learning, with a strong track record of applying these techniques to healthcare or biomedical challenges. Demonstrable expertise in processing and analysing large-scale, multimodal datasets (e.g
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signal processing and both time-series and frequency domain analysis of physiological recordings including ECG and nerve recordings. This data is used to investigate the cardiovascular effects of altered
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Wellbeing Across Lifespan (SWAN) brings together expertise from the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact
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developing AI-based smart healthcare monitoring devices, focusing on biosensor development, lab-on-chip, and point-of-care technologies. Apply machine learning and computer vision techniques to analyze
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pharmacology tools to identify novel signaling pathways in metabolism to develop new targets for drug discovery. Our research interests include: 1) Liver-gut and microbiota crosstalk as metabolic mediators in
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that the distribution of endodermal progenitors results from a stochastic process where sustained Nodal signalling provides a competency window for the switching of bipotential progenitors to an endodermal fate
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of siRNA-peptide conjugates across multiple human, primate and mouse cell lines. We are therefore seeking a highly motivated and organised individual with proven expertise in human tissue processing and cell