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these changes affect ecosystem functions. To extend these analyses to new types of data and questions, we develop state-of-the-art hierarchical Bayesian methodology. We also actively apply our research to more
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Requirements An ideal candidate will also have experience in modelling of insect dispersal and/or climatic suitability analysis and Bayesian statistics. Previous involvement in acquiring research funding will be
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or food safety risk assessment, toxicology and/or Bayesian statistics. Previous involvement in acquiring research funding will be considered as merit. The position requires excellent written and verbal
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these changes affect ecosystem functions. To extend these analyses to new types of data and questions, we develop state-of-the-art hierarchical Bayesian methodology. We also actively apply our research to more
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, we develop state-of-the-art hierarchical Bayesian methodology. We also actively apply our research to more applied questions such as environmental management and risk assessment. For more information
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employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council
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six months at the beginning of employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric
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on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. Depending on the background and interest of the candidate, the work will focus on a
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are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate