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three universities / develop cutting-edge stochastic multiscale models for biology and ecology / supportive entry-level role with strong mentoring Join our multidisciplinary team to shape new mathematical
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biophysical ecology research aligned with the ARC project on climate responses of pests. Develop, refine and apply quantitative models of organisms and environments using advanced computational and mathematical
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Have you completed your PhD? Are you eager to enrich knowledge on biodiversity as a postdoc? Then Naturalis in Leiden is the place for you. Pursuing a postdoc at Naturalis means working on research
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focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data insights, and applying appropriate AI models for geospatial analysis based on the integrated data
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insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
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. or other terminal degree in terminal degree in Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date
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the obtained doctorate must be presented before you can take up the position. Keen interest in ecological statistics and cross-disciplinary scientific research. Solid background in statistical modelling
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Finn-Eirik Johansen (Department of Biosciences, Faculty of Mathematics and Natural Sciences) and Shuo-Wang Qiao (Institute of Clinical Medicine, Faculty of Medicine). The group’s main research focus is
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Bayesian inference, data assimilation, inverse modeling, and/or probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance computing and handling
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of Mathematics and Natural Sciences) and Shuo-Wang Qiao (Institute of Clinical Medicine, Faculty of Medicine). The group’s main research focus is the unique immune system of the Atlantic cod, which is