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areas include: indicators of functional or taxonomic diversity species-specific or habitat-based monitoring combinations of field data, remote sensing, and modelling new techniques for detecting and
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weather forecasting to cardiovascular medicine. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning
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directly relevant to the specific specialization. It is a requirement that you have: Experience working with Agent-based Modeling and Simulation Experience working with Agent-based Modeling and Simulation
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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as
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studies using cell and animal models, with the aim of increasing knowledge of the biological mechanisms that may explain epidemiological associations observed in the SELMA study. Link to article Within
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information, for example data derived from remote sensing, use point process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating
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of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new scientific results. You will also take courses at the doctoral level
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applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
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of farm animals and to develop the genomic breeding methods of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new
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about the departments is available at: Project description This PhD project will explore how Artificial Intelligence, in particular AI-based simulations, data-driven modelling, and generative systems