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of Byzantine Art History (Faculty of Historical and Cultural Studies). The research focus is on the analysis of Byzantine visual art, taking into account iconographic, stylistic, and cultural-historical
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, and application of advanced data analysis tools to chromatographic data. Demonstrated proficiency in pyrolysis-gas chromatography/mass spectroscopy, size exclusion chromatography, and ion chromatography
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in the visualisation of analysis results of the acquired data; preparing publications and presenting results; collaborating with other team members. This is a half-time position for a post-doctoral
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writing) is mandatory. 4. Strong ability in data analysis and visualization is required. 5. Knowledge of French or Chinese is an asset. • International Experience: Prior research experience abroad is highly
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automating geospatial workflows. Proficiency with GIS tools (e.g., QGIS, ArcGIS) for spatial analysis and visualization. Experience developing statistical or machine learning models to estimate fuel moisture
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for three weeks of training in higher education teaching and learning. These tasks will be performed: Analysis of time series of active fire and burned area data together with ancillary datasets (e.g. biomass
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research and teaching in applied analysis, computational mathematics, data science, discrete mathematics, financial mathematics, stochastics, and statistics. The Department of Applied Mathematics is the only
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of molecular sensing circuits Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from data Demonstrates ability to perform
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(fMRI), and eye-tracking measurements (main task) – Data analysis (main task) – Interpretation of results (main task) – Dissemination of findings through the writing of scientific articles (main task
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. Design, implement, and validate experimental setups; conduct synchrotron-based measurements on quantum and energy materials. Build robust data reduction and PDF analysis workflows; document best practices