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analysis: Applying geospatial methods (GIS mapping, geographically weighted regression, spatial clustering) and temporal approaches (time-series analysis, distributed lag models, case-crossover designs
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for NCDs. This will involve: Spatial analysis: Mapping and modelling environmental exposures at fine spatial resolution using GIS tools, geographically weighted regression, and spatial clustering techniques
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of inflow and turbine setpoint changes (e.g. grid curtailments) on wind turbine component loading (b) the effect of wind turbine spacing on wind turbine farm loading (c) the differences in loading
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and characterization of chiral metal nanoclusters, as well as their applications in catalysis and biosensing. CHIRALNANOMAT's will train 13 Doctoral Candidates who will become experts in chiral
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. The researcher will conduct the health economic component of this evaluation. More specifically, he/she will study the economic impact of mental health problems in Belgium (healthcare consumption, productivity
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of working in a multidisciplinary, international consortium?Are you familiar with Python, MATLAB, or similar tools for data analysis and optimization?Are you eager to contribute to EU-wide goals on energy
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and analysis. Advanced Analytics: Implement analysis modules for methylation calling, structural variant detection, fragmentation-based signatures and multi-omics integration. Machine Learning
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component behaviour. 3. Extend and apply existing core loss models to novel materials, leveraging insights from the MAGNIFY network. 4. Conduct a stochastic study on how strand positioning within
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for: - Animal handling including radiotherapy implementation and MR acquisitions - Implementation and optimisation of behavioural tests geared towards cognition - Processing and analysis of histology samples
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include regulations, compilations of local legislation and commentaries thereon, as well as rulings by municipal courts. You will conduct research in archives. Based on an analysis of source material