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analysis; proven experience with mathematical/computational modeling of experimental observations; experience with colloidal synthesis; proven experience with optical and fluorescence microscopy techniques
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quantitative skills and strong analytical capabilities; proven experience with experimental image and data analysis; proven experience with mathematical/computational modeling of experimental observations
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gaming's inclusionary potential, using a practical intervention which we call ‘equity conversation'. Data collection in the project will combine content analysis (of game content), interviews, and
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health. Most current Geographic Question Answering (GeoQA) tools only return short factual answers, but many real-world questions—like this example—require deeper spatial analysis. In such cases, maps must
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, sustainability, and public health. Most current Geographic Question Answering (GeoQA) tools only return short factual answers, but many real-world questions—like this example—require deeper spatial analysis. In
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datasets, and geospatial analysis outputs of the project. Technical support from the RUG Geodienst is available. Contributing to the development of theoretical frameworks within the project, potentially
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proposed methodological approach for data collection and analysis. - A curriculum vitae no longer than three pages, including contact details of two academic referees. (No letters of recommendation
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, and c) a proposed methodological approach for data collection and analysis. A curriculum vitae no longer than three pages, including contact details of two academic referees. (No letters
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questions and ideas, data collection, qualitative and/or quantitative analysis of the data, executing the research project, and writing and presenting of academic papers. The aim is to publish your work in
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version