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Field
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experiments in gelatine (https://doi.org/10.5194/egusphere-egu25-9211). This model will be tested with analogue experiment results from the MAGMA Lab, run by other members of the project team. The second
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well as next-generation ecological models that take uncertainty into account. The https://leca.osug.fr (LECA) is part of the University of Grenoble Alpes and the CNRS in France. Grenoble is located close to
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/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical or computational modelling Ability to develop and pursue independent research questions Interest in
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(https://bayklif2.de ) • PhD studies supported by our faculty's structured graduate program (RIGeL) • An outstanding scientific infrastructure, excellent international networking, and a collegial working
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Transformation (GALLANT): https://www.gla.ac.uk/research/az/sustainablesolutions/ourprojects/gallant/ . This post will be based in Work Package 2 ‘Biodiversity and societal benefits of ‘natural’ urban habitats
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the Bavarian research network bayklif2 (https://bayklif2.de ) • PhD studies supported by our faculty's structured graduate program (RIGeL) • An outstanding scientific infrastructure, excellent international
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others, pseudospectra theory, and empirical data from DRAGNet and global demographic databases (COMPADRE, COMADRE, PADRINO). The project combines mathematical modelling, simulation, and empirical synthesis
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investigators within the institutes. A variety of approaches are used, including ecology, epidemiology, mathematical, computational and statistical modelling, bioinformatics, parasitology, immunology and
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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual
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the temporal dynamics of populations and communities over time. The candidate will also contribute to developing the mathematical description of these models to link the ecological theory to practical data