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these methods across different crops to identify conserved patterns of stress resilience 4. Identify candidate genes associated with key agronomic traits related to resilience 5. Contribute to software and web
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on the solid application of scientific research method. The department has a pluralistic approach to research methods that includes, for example, formal theoretical models, quantitative empirical methods such as
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. Experience with sampling, analytical methods, and data collection. Competence in processing, visualizing, and interpreting experimental data. Ability to work independently while contributing effectively to a
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technologies Development and utilization of high throughput methods for characterizing and quantifying the physicochemical behavior of food macromolecules in complex matrices. Modelling and the use of machine
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The Centre for Formal Methods and Future Computing (FORM) at the Department of Mathematics and Computer Science, University of Southern Denmark (SDU, Campus Odense or Vejle) invites applications
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aligned with the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science-teams/food-quality-perception-society/. The Science Team
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The Centre for Formal Methods and Future Computing (FORM) at the Department of Mathematics and Computer Science , University of Southern Denmark (SDU, Campus Odense or Vejle) invites applications
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statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
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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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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