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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
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interdisciplinary project brings together experts in liver biology, microbiology, toxicology, and environmental science to develop reproducible methods and generate clinically relevant insights to inform global
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interventions to disentangle the active elements of rumination-focused cognitive-behavioural therapy, participatory research with people with lived experience and supporting a definitive clinical trial. The
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approach completion of) a PhD in Zoology or Palaeontology with a strong phylogenetic/macroevolutionary component. A good knowledge of vertebrate comparative anatomy and evolution and proficiency in
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focus on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with
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be extended by at least one and up to three years. You will contribute to method development, simulation and validation in close collaboration with experimental partners. Key Responsibilities: Carry
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experience: Essential criteria PhD qualified in statistical/psychiatric/behavioural genetics or allied academic area with strong analysis component Excellent R programming and linux/unix skills with use
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computational and experimental mechanistic studies to drive (pre)catalyst and methods development for carbon-carbon and carbon-heteroatom bond forming reactions. Find out more about Professor Neidig’s research
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, and co-ordinating study meetings between the research team and other stakeholders. There will be elements of data curation, management, and analysis, supported by a post-doctoral Research Associate and
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appropriate, to identify areas for research, develop new research methods and extend the research portfolio. To deal with problems that may affect the achievement of research objectives and deadlines by