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that are essential for Mycobacterium tuberculosis to cause disease. As a group we are applying an integrated systems approach of microbiology, biochemistry, molecular biology, multi-omics and mathematical modelling
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knowledge of their development and structure. Working closely with colleagues at the Universities of Leeds and Reading, you will integrate theoretical understanding, observational data, and modelling
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clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use resources effectively Understanding of and ability
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. The project includes collaborations with disabled musicians, and we are led by the social model of disability. Consequently, disabled researchers and those with lived experience of disability are encouraged
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approach of microbiology, biochemistry, molecular biology, multi-omics and mathematical modelling to understanding the role of metabolic pathways in the virulence and antimicrobial susceptibility
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public engagement. You may be a great fit if you: Hold a completed or near-completed PhD in computational biology, computer science, engineering, data science or related discipline. Demonstrate experience
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AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection
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We are looking for a researcher, whose expertise lies in applied statistical modelling and methods in biological settings, to work with Prof. Gary Mirams and Prof. Simon Preston on an externally
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data engineering, statistical modelling and natural language processing, including from partners at the South London and Maudsley NHS Foundation Trust and King’s College London. You will be supported
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Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management