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. Thus neuronal experimental data are to be analyzed for both aspects by PCA analysis and statistical multivariate methods to extract spatio-temporal spike patterns. Finally both results will be linked and
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while maintaining clarity in the interpretation of results. Concurrently, AI-based methods are developed that prioritize interpretability and reduce data dependency by imposing desirable constraints
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A graduate student (MSc or PhD) is wanted as part of a large, collaborative research project evaluating flood, fire and increasing temperature risks posed to upper Fraser watershed salmon stocks in
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projects that handle big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to better understand Alzheimer’s disease and related dementias. Overall, this research
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procedures under strict deadlines, create documentation, and work physically on experiments. Perform data collection and data analysis to investigate the performance of large scale RFID deployments. Operate
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roles and career opportunities, which together make us a large and successful community, which is a key hub of activity within our region and nationally. We would be thrilled if you would consider
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(external link) . About the Urban Analytics Institute The Urban Analytics Institute assists partners with research and in implementing smart technologies, including big data analytics, deep learning, and
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manufacturing that appeals to a large percentage of the US market. Building designs that co-optimize the interests of the community, building owners, developers, and environment. This position will be associated
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Analytics Institute The Urban Analytics Institute assists partners with research and in implementing smart technologies, including big data analytics, deep learning, and artificial intelligence. The Institute