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trial with stepped wedge design evaluating the delivery and implementation of an intervention package aimed to improve communication between social care staff and the adults with learning disabilities
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types, and potentially inform design of future treatment regimes. We are looking for an enthusiastic and well-motivated individual from a biological or medical sciences background with experience
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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. The post-holder will contribute significantly to the ongoing design, development and implementation of strategy, policy and activities in postgraduate research and will have a significant role in leading
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and gut microbiome, funded by an 8-year Wellcome CDA in collaboration with Prof. Matthew Hepworth. During this position, the post-holder will design and lead bioinformatic analyses of large-scale
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relationships, and contributing to requirement gathering, design, data migration, testing, business change, training, and post-live support. We are looking for candidates with experience in IT projects, CRM
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Cytometry) and H&E data from COPD/non-COPD control cohorts. In addition, the post holder will design machine learning models to associate spatial lung remodelling with blood-based biomarkers. Using paired
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are ubiquitous and used in many contexts to communicate key aspects of a dataset to both expert and non-expert audiences. Interpretation of data visualisations is influenced by factors including design choices
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university strategy launching later this year. Key responsibilities include project delivery tasks such as requirement gathering, design input, data migration oversight, system integration and user acceptance
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will be expected to design and perform laboratory-based experimentation, analyse the outcomes of the experiments, draw well rationalised conclusions and communicate their findings to other parties