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and synthesising data from individual research studies Ability to use AI to support evidence synthesis, including as part of research to evaluate AI Demonstrable ability to attract and secure research
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targeting translation inhibitor sensitive RUNX1 mutations in chronic myeloid leukaemia’. You will work independently to produce high quality experimental data in the laboratories of the Biochemistry
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measurement requirements, and with the modelling PDRA to support model parameterisation and interpretation of simulation results. Maintain accurate experimental records, contribute to data curation and support
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(SEEA EA) data to develop methods and on-ground case studies, gaining experience in stakeholder engagement, scholarly publication and practical tool development. What you will deliver: Conduct World-class
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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed
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battery data. Develop scalable, secure, and production-grade software systems supporting industrial deployments. Integrate embedded BMS firmware, edge computing devices, and cloud analytics pipelines
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or joint research, with assistance of a mentor if required Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication
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data for research, behavioural science, implementation science/knowledge mobilisation, advanced evidence synthesis (network meta-analysis, individual participant data meta-analysis). We are seeking
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will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. Further information For further information please contact Professor Dave
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that these analyses will result in standalone journal papers, some of which you will take the lead in writing. There may also be opportunities to be involved in related mathematical modelling projects, as well as data