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statistical methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart
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responses to pharmacological intervention. We will combine studies in GPR6 knockout mice with pharmacological approaches in rodent models, including Flinders Sensitive Line (FSL) rats, a model of
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-genome sequencing and resequencing data from non-model arthropods, particularly insects and spiders. A substantial part of the work will involve processing and analyzing genomic data from historical
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), explainable AI that translates model outputs into interpretable visualisations for clinical microbiologists and chemists, cross-platform generalisation to high-resolution MALDI (MALDI-2, timsTOF) and LC-MS
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survey research, together with a good understanding of behaviour change theory (e.g. COM-B, the Theory of Planned Behaviour, or the Value-Belief-Norm model) as applied to sustainability or circular
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, including SSP/RCP-based projections, and methods for propagating or quantifying model uncertainty; experience analysing plant community composition, functional traits, functional diversity, ecosystem
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associated thermodynamic calculations Experience with microbial inhibition models Model-based data processing Excellence in both written and spoken English You will be working in the research group
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analysis and metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial
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gastruloids as an in vitro differentiation model. We aim for an open and collaborative work environment, with regular scientific exchange and knowledge-sharing that helps lab members learn from each other and
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) treatments to plant physiological and molecular responses and will feed into the project's design-test-model cycle. The position will also strengthen the unit's capacity in plant cultivation under