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– Biomedical and Health Sciences (SGS–BHS) mission through data-driven strategy and evidence-based decision-making. This position holds primary responsibility for the identification, collection, analysis, and
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, network analysis, or machine learning are a plus Good organisational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing to a
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for hydraulic models to design sewage network upgrades. In order to reduce combined sewer overflows, tools are needed to optimise the interventions and compare different sites and models. Presently, the outputs
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: - Proficiency in social network analysis and data harvesting - Experience in documentary production and/or image analysis - Experience in conducting photo/video elicitation interviews - Experience with
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on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and
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performance Analysis of the data to identify higher-order spike correlations and their temporal dynamics Are there particular manifold transition points and is their timing related to the occurrence of specific
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- Literature review to identify and understand advanced methodologies for assessing the health of assets in networked infrastructures 2- Analysis and identification of integration requirements for asset
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impact in these fields. The Department of Innovative Japanese Studies, established in 2019, covers a broad spectrum of social and cultural phenomena, combining the analysis of fictional social constructs
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for Social Analysis, and Master of Science in Criminology and Criminal Justice programs. Teaching will be in a traditional classroom on our Arlington, Virginia campus, with the potential to teach additional
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large datasets, including predictive modelling, sentiment analysis, or social network analysis. Experience with AI applications in sociology, political science, communication, linguistics, or area studies