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environmental and life sciences challenges. Courses will cover topics such as complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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biodiversity. Specifically, the primary focus of the PhD will be to analyse and parameterize models describing the ecological and evolutionary dynamics of small and fragmented populations, and how the risk of
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-planning of timber production and nature conservation, two important objectives in forestry. The work involves developing knowledge and tools for habitat modelling through 1) mapping existing habitats, 2
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models and/or model components. They apply mathematical models to answer specific research questions, analysing dynamics and processes in the natural system and its interaction with the anthroposphere
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the research landscape of Göttingen. The excellent biological, ecosystemic, environmental and mathematical research in Göttingen is reflected in this PhD programme. Sub-programmes: bioinformatics (computational