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chromatographic techniques. Integration and synthesis of previous data with newly collected data on fatty acids, cyanotoxins, and stable isotopes. Application of Bayesian mixing models to investigate consumer diets
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, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible
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Kajani University, Finland where the scientific work targets information and communication (ICT/IoT) architectures for data collection, data processing, and data analysis to extract information from
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projects. The research is of international quality, and we collaborate with researchers around the world. Within the area of Energy system analysis, the research is targeted at the transition to a
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tools, and targeted genetic approaches in Arabidopsis thaliana to characterise mechanochemical signatures and map these to early cell wall integrity (CWI) outputs. The doctoral project is embedded in a