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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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(e.g. Matlab / Python) Experience of or willingness to work with pre-clinical tissue models (e.g. farmed meat) and human tissue (e.g. contaminated instruments in clinical facilities). A proven academic
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these pathways modulate T-cell signalling, activation, and effector functions in preclinical models of autoimmunity. This research is part of a broader effort to define how inhibitory receptors tune T-cell
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, activation, and effector functions in preclinical models of autoimmunity. This research is part of a broader effort to define how inhibitory receptors tune T-cell responses in health and disease, ultimately
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record in studying humans and machine learning models, in the context of human social behaviour, learning, decision-making, or a related area. A proven track record of publishing work as lead author in
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, or a related discipline, and must have a strong research track record, experience with cell culture model systems, proficiency in flow cytometry, confocal microscopy or other advanced imaging techniques
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Duration: 8 months or until 31 May 2026, whichever is sooner About the Role This is a research position for an EPSRC funded project entitled “Distributed Acoustic Sensor System for Modelling Active
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. The project will also include developing and applying applications in glycomics and native MS. Our goal is to characterise the structure of complex biological oligosaccharides and their site of attachment
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-mechanical model of microwave circuits Electromagnetic modeling of microwave circuits CAD design of microwave circuits Room temperature and cryogenic measurement setups for microwave circuits Execution and
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high