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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
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applications through the EIC project SPIDAR. In this position you will have a chance to make an impact by contributing to satellite-based PIC LIDAR technology with direct applications in space debris detection
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, NLP, behavioral sensing, and causal inference, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health, policy, and technology design
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Research” funded by the Research Council of Finland in the research group of Academy Research Fellow Katariina Pärnänen. Our group aims to discover associations with socio-economic markers, health, gut
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employment: FIMM, University of Helsinki, Finland Collaborating site: DANDRITE, Aarhus University, Denmark Find all information and applyhere . Project 2: Genetic and adaptive dynamics of microbiome in
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“Expanding the Horizons of Antimicrobial Resistance Research” funded by the Research Council of Finland in the research group of Academy Research Fellow Katariina Pärnänen. Our group aims to discover
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. The objective is to understand how algal blooms and the changing conditions around them contribute to the reconfiguration of human-environment relations in the context of the ecological crisis using Finland as an
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to pursue a doctoral degree at the University of Helsinki, it must be applied for separately. Please find more information how to apply to doctoral programmes and the requirements for pursuing a doctoral