19 Statistics "University of Strathclyde" research jobs at The University of Queensland
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in Statistical Genetics or Genetic Epidemiology to engage in research to further their expertise and growing research profile to achieve national recognition in their discipline. Outstanding Research
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School of Agriculture and Food Sustainability Analytics for the Australian Grains Industry (AAGI) Mixed model (REML)statistics for breeding – non-linear / optimisation approaches Full-time Academic
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development of joint research projects. Research in the broad field of statistical genomics, including analysis of data generated by the Program, by collaborators or in the public domain, method development and
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. Experience with medical data and a background in computer science or applied statistics will be highly regarded. Based at our vibrant and picturesque St Lucia Campus About UQ As part of the UQ community, you
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methods. Relevant experience in extracting and summarizing data from literature, conducting statistical analysis, and quickly applying this knowledge in the workplace. In addition, the following mandatory
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Strong computing skills that ideally include matlab and/or R. Use of statistical models. Excellent written and statistical skills A familiarity with marine conservation and coral reefs would be
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leading plant breeding programs and developing successful partnerships with industry. Demonstrated ability in quantitative and statistical analysis of large genomic data sets An extensive record
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PhD in the neuroscience or health-related subject. Demonstrated expert knowledge and concussion/traumatic brain injury OR relevant experience in neuromodulation. Have excellent statistical and
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in lung function testing in adults and/or children. A basic understanding of online databases and statistical packages and an ability to maintain accurate records and be confident navigating computer
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attention paid to accuracy and detail. Knowledge and skill in statistical analysis using statistical packages (e.g., SPSS, R, SAS, or STATA) and/or qualitative research methods. Experience in the use