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experience contribute to ongoing translational research program related to the application of statistical and machine learning methods in reproductive and perinatal medicine using both clinical quality
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Development Institute). The Research Fellow will develop AI-based methods that support fine-grained weather analysis for sectors such as wind resources and prediction under climate change. In close
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, attraction of external competitive grants and presentations at a national and/or international level in Public Health or Behavioural Science. An understanding of statistical methods and knowledge of SPSS
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, biostatistics, public health, with a strong component in epidemiology and biostatistics, or a related degree Research experience in terms of publications in high quality journals, attraction of external
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difference. We’re seeking someone with a PhD (or equivalent experience) in health research, epidemiology, statistics, or health services research—someone who thrives in a mixed-methods environment and brings a
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method to submit your application due to accessibility needs or personal circumstances, please contact talent@uq.edu.au . Other Information UQ is committed to a fair, equitable and inclusive selection
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, they will have prior knowledge of infectious disease modelling, Bayesian inference methods and optimisation methods. They will have a developing research profile, with a demonstrated ability to publish
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. The research will be conducted in close collaboration between Philosophy and Biological Sciences. The position will be located in the Theory and Methods in Bioscience group, headed by Dr Bourrat in
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collaboration between Philosophy and Biological Sciences. The position will be located in the Theory and Methods in Bioscience group, headed by Dr Bourrat in the Philosophy Discipline. The skills required
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, collaborative and adaptable researcher with a foundation in qualitative and quantitative research methods. Your cultural sensitivity and strong communication skills enable you to approach research with respect