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under what conditions emotionally charged migration narratives are linked to political engagement? The project will combine multimodal social media analysis with survey experiments, and data-donation
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analyses, quantitative descriptive and association studies, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network
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individual microbial isolates. Your qualities You enjoy combining experimental biology with quantitative approaches and are eager to develop skills in microbiome data analysis and predictive modelling; You
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establish new paradigms that explain why some repeat RNAs are toxic while others are not. Your responsibilities include: Independently conducting experimental work and performing data analysis
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fieldwork and analysis of sampled data, experiments at the Metronome (our world-renowned tilting tidal flume at Utrecht University) and stakeholder workshops. We also aim to set up a citizen science
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, lipidomics, and proteomics. Experience with multi-omics analyses is an advantage; Basic proficiency in data analysis using R, Python, and/or Matlab, with a strong interest in computational methods
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comparative secondary analysis with original cross-national data collection. First, you will link data from the European Social Survey with MIPEX indicators to examine whether cross-national variation in
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, including experience with data analysis and statistics; experience with web scraping and working with large-scale datasets is an advantage; interest in combining multiple data sources (e.g
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will work in close collaboration with a PhD candidate at the Methods and Statistics department, for example on complex data analysis, and the development of personalised visualisations for use by
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; Knowledge on handling large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into