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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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, or other participatory research methods is welcome but not required. Experience with food consumption, sustainability, or circular economy research is an advantage but not a requirement. Note that you do not
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interventions and commercial marketing measures, consumer-oriented innovations, and social dynamics can be combined to support sustainable change. Please make sure to read more about the project here https
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instruments, with data obtained with DNA methods and data obtained with a Hirst trap. • Numerical models used by the group covers the particle dispersion model HYSPLIT in combination and the numerical models
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; survey design and online experimental methods; quantitative data analysis, preferably including choice modelling, willingness-to-pay analysis, segmentation, multivariate statistics, or related methods
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their association with mobile genetic elements with the aim of devising a preliminary framework for risk factor analysis related to persistence of AMR, horizontal gene transfer, and dissemination between bacterial
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their association with mobile genetic elements with the aim of devising a preliminary framework for risk factor analysis related to persistence of AMR, horizontal gene transfer, and dissemination between bacterial
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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
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Design and use custom-made antibodies to localize the expression of key elements in coelenterazine biosynthesis/recycling Use transmission electron microscopy and VolumeScope FIB-SEM electron microscopy
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The Section of Biostatistics is looking for a postdoc to develop statistical methods for inference on causal effects in studies affected by non-random participation, particularly self-selection in