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assemblage of huge biological data sets on species distributions and traits built from primary sources, as well as huge genomic data sets. We work with novel macroecological process-based and null models
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and improve an assemblage of biological data sets on species’ distributions and traits. We use a range of tools from novel macroecological process-based and null models to cutting-edge DNA and genomic
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linear ballistic accumulator models, diffusion models, biased competition models, or Bayesian models. During the employment, the candidate is expected to engage in the development of computational models
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’ distributions and traits. We use a range of tools from novel macroecological process-based and null models to cutting-edge DNA and genomic techniques. This holistic approach strengthens our ability to address
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strong expertise in processing, characterization and functionality modelling. The position will join the group Food Materials Engineering, which is part of the Section Ingredients and Dairy Processing