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on academic research that relies extensively on survey data and work with interview data, historical case studies, cross-national and sub-national data, and the literature related to this programme of research
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experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools; Code synthesis
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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms
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expected that the successful candidate will contribute to the computational analysis of multi-omic data that will be generated during the project. The candidate must hold or be near completion to a PhD/DPhil
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funded by EPSRC and is fixed-term until 31 May 2026. The role will entail collecting and analysing functional MRI data from healthy volunteers, including both BOLD and ASL from 3T Siemens clinical scanners
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performance of novel proteins and coordination with UK and Japanese partners to implement the platform technology. You should possess a PhD or PhD-equivalent work experience in the field of synthetic biology
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of data and report writing. This role also includes in collaboration and preparation of research publications, presenting findings and acting as source of information and advice to other members
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of RNAseq data and in vivo modelling of cancer. In addition to leading your own research, you will provide guidance and support to junior members of the lab, including PhD and project students, research
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responsible for managing your own academic research and administrative activities and adapting existing and developing new research methodologies and materials. You will analyse quantitative data from a variety
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trials, analysing and presenting data, contributing to manuscripts for publication and training, and supervising junior staff. You will participate in the research programme led by Professor Adrian Hill