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. The fellow will also have opportunities to contribute to study design and grant development, including work related to emerging interventional studies. Responsibilities Lead epidemiologic and statistical
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, economics, sociology or a related social science, plus strong quantitative capability, you’ll have the opportunity to apply advanced statistical and econometric methods, publish impactful research, and
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using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific
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processing and statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; Work on sleep datasets
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of the FragPipe computational platform. Conduct data mining, visualization, and statistical analysis. Participate in collaborative research projects. Publish manuscripts in peer-reviewed journals. Required
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emerging interventional studies. Responsibilities Lead epidemiologic and statistical analyses of longitudinal and high-dimensional microbiome datasets Apply and develop methods for multi-omic data
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sequencing in cattle. Developing better statistical methods to improve association studies with QTL and enhancing genetic prediction tools for automation of data processing required for SNP use in livestock
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lab is focused on revealing the molecular and environmental rules governing cell fate decisions in development and cell differentiation. We develop technologies to generate statistical data sets
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Carleton University | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 15 days ago
Carleton University, School of Mathematics & Statistics Position ID: 1013-FIELDS2026 [#28258] Position Title: Position Type: Postdoctoral Position Location: Ottawa, Ontario K1S 5B6, Canada [map
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tools for mass spectrometry data analysis. Contribute to the development and maintenance of the FragPipe computational platform. Conduct data mining, visualization, and statistical analysis. Participate