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machine learning protocols for supervised and generative modelling tasks. Compose quantum circuits for implementing and testing quantum machine learning models. Perform simulations of QML protocols in
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neutrophil-derived extracellular vesicles in accordance with ISEV guidelines. Maintain and manage mouse models of atherosclerosis, including performing relevant in vivo experiments and tissue collection
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feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you
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DBS check will be required for the successful postholder. These posts are part of a central team that includes a range of high-performing marketing, recruitment and events professionals. The team vision
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demonstrate good knowledge of mathematics, numerical modelling, fluid dynamics and signal processing and be a proficient user of a programming language, e.g. Python or Matlab. Main duties and responsibilities
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model-driven and AI-based approaches to image reconstruction. The candidates will be able to adapt and test their methods in cohorts of infants and/or paediatric and/or adult patients with lung disease
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member of staff, you will be encouraged to make ethical decisions in your role, embedding the University sustainability strategy into your working activities wherever possible. Model the conduct and
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biomarkers and inform precision therapies. The role involves both wet-lab experimentation and computational modelling, offering a unique opportunity for someone with a background in molecular or cell biology
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a passion for the University of Sheffield and the student experience that we offer, to inspire prospective students. An enhanced DBS check will be required for the successful postholder. These posts
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architecture models and frameworks that enable the strategic shift needed to achieve University objectives. Establish appropriate standards, policies, processes and governance for technology decision-making