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to contribute to qualitative data collection and mixed-method approaches where appropriate. We are looking for someone with proven experience in quantitative methods who is also an innovative and practice-minded
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
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which you will be encouraged and supported to use your initiative and creativity to identify areas for research, develop research methods and extend your research portfolio. In particular, focus
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or Stata and a strong grasp of statistical methods, data analysis and regression modelling. You will have experience in using large complex datasets, data linkage, data cleaning, and good research writing
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are seeking a highly motivated Research
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to work on related methods, including development of simulation-based analysis and computational methods. You will work closely with a multidisciplinary team, including clinicians, epidemiologists
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global health, (medical) anthropology, mental health or applied health research to work on a major global health research programme on racism and social inequalities in mental health in Brazil. You will
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is Prof Cally Tann. We are seeking a Research Fellow in Early Child Development & Disability to coordinate the development, implementation and evaluation of the programme, including: mixed methods