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, optogenetic and electrical stimulation, neuromodulation and lesion-based validation, signal processing, computational network analysis, and dissemination of results. The postdoctoral associate will work with
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, heart failure, long-term conditions, self-care or person-centred care. Survey data, registry or usage data, and statistical analysis. Multicentre research or collaboration with regions, clinical services
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, select, and apply standard techniques of routine research. Keep detailed records of data. Use computers and laboratory or technical equipment to perform data analysis, statistical analysis, and technical
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failure modes, comparing alternative designs, and using those results to determine the next experimental iteration. Extensive computational genomics experience is not required, but the ability and
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microtomography) and exploit image segmentation and analysis tools available within the team. - Perform mechanical characterizations at different scales and analyze deformation and failure mechanisms. - Develop and
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support applied research projects focused on grazing management and soil health. This position will lead the analysis and interpretation of soil data already collected across multiple projects spanning
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translated into systemic physiological responses. We combine Drosophila neurogenetics, optogenetics, connectomics analysis, metabolomics, and lipidomics to investigate how these neural signals reshape systemic
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, ion irradiation, corrosion studies, advanced microscopy, and artificial-intelligence-enabled microstructural analysis to support the development and qualification of next-generation structural materials
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applicable. Preferred Qualifications PhD in data science, and/or public health or related fields including health services research, health informatics, computer science. Experience in data analysis using
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in the analysis and interpretation of single-cell multi-omic data. This role will contribute to cutting-edge research by integrating statistical and computational approaches to address complex