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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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. This four-year doctoral project will investigate biotic risks associated with birch and builds on research initiated during the first phase of Trees For Me. It combines two connected research tracks: damage
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international strategies on food security, national environmental objectives and climate reporting as well as the 2030 Agenda for Sustainable Development. The majority of the department’s activities and employees
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modelling, open and reproducible research, scientific writing, teaching, communication, as well as leadership, project, and people management. Training will be tailored to the career objectives of the student
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to the career objectives of the student. Duties The principal duty is to undertake doctoral education and complete a doctoral thesis under supervision. This includes developing theoretical understanding
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that support both organizational objectives and employee needs. The position includes the collection and analysis of qualitative and quantitative data, publication of scientific findings in international
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gasification to biomethane. System scenarios will involve integration of syngas biomethanation with conventional anaerobic digestion plants and supply of exogenous hydrogen gas. The objective is to assess energy
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science with a focus on bioinformatics. We offer an international, stimulating, and collaborative research environment where your scientific career development is promoted. The project aims to track strain