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the lead of Prof Daniela Ferreira conducts research using controlled human challenge models to better understand mucosal immunity to respiratory pathogens and inform vaccine development. This position is
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A good command of written and spoken English The ability to work independently, along with a highly motivated and creative approach to research Demonstrated teamwork, cooperation and communication
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that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
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biological concepts controlling heterogeneity within complex biological systems, especially those of the blood system and cancer. Relevant publications include Schoof, Furtwängler et al., Nat Comm 2021
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codebases and data pipelines; ensure reproducibility and version control *Work with team members to integrate LLM modules into user friendly decision support platforms *Facilitate user testing and gather
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis a Experience in energy storage Experience with programming languages (ideally Python), SPS controls system Fluent
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century across three research themes: AI in Fashion Design AI in Textile & Apparel Quality Control AI in Ergonomic Design The RCA will lead three projects across these themes, working with researchers from
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Apparel Quality Control AI in Ergonomic Design The RCA leads three projects across these programmes, bringing together interdisciplinary teams and industry partners to develop innovations with real-world
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manipulation tasks in a range of dynamic domains (industrial, service, domestic). This position will focus on using and developing learning-based perceptive approaches. You will develop a control framework
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on clinical and research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized controlled trials Perform other