602 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" Fellowship research jobs in United Kingdom
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. The role holder will prepare and conduct empirical (mixed-method) research. This will entail all steps from developing the conceptual frameworks and instruments to data collection and analysis. You will
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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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non-student applicant, you will need to put N/A or random numbers in the mandatory student information sections. Description of the Group The post holder will join the Supramolecular and Bioinorganic
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contexts and contribute to rigorous welfare assessment frameworks for practical use. Analyse Complex Data: Perform advanced statistical modelling and neurophysiological/behavioural data analysis to test and
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maintain modelling, data management and cloud-based exchange systems to enable effective collaboration and delivery across the IGNITE Hub. Contribute to writing bids for research funding Collect, analyse
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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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using human samples such as blood, saliva and tonsils. Our research group encourages a culture of scientific curiosity and learning, with regular meetings to present and discuss data. You would be
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structural and functional data, will present new routes to improved control of spores. You will use modelling and simulation tools to perform molecular dynamics simulations of SleB and of some of its partner
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Mark), LGBTQ+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer. Further information For further information please contact Dave Hodgson, d.j.hodgson@exeter.ac.uk .
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further information about the post. The interview date will be announced shortly after the advert closes.