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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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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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in the project. Who are we looking for? We are looking for candidates with a PhD degree and demonstrable experience in food ingredient isolation, rapid experimentation, process miniaturisation
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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