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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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                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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                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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                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 
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                (short review) The Lucigenin Assay: Measuring Anion Transport in Lipid Vesicles. Analysis & Sensing2023, e202300044. https://doi.org/10.1002/anse.202300044 Job description The successful applicants will 
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                , that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models