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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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3 Sep 2025 Job Information Organisation/Company University of Turku Research Field Computer science » Other Engineering » Computer engineering Mathematics » Computational mathematics Medical
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estimated to cause 1.3 million deaths annually. However, drivers of the AMR crisis are still largely unexplored in population cohorts. Also, the amount of sequencing data has increased massively in the last
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research team. The following are considered as advantage: Any previous experience in working with spacecraft data. Deep knowledge of AI methods (esp. machine learning based) and their performance estimation
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computing, data science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications
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statement from the supervisor regarding the estimated date of the dissertation defence Contact information for recommendations, contact information from two prior academic supervisors or persons acquainted
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of the biggest threats to human health and is estimated to cause 1.3 million deaths annually. However, drivers of the AMR crisis are still largely unexplored in population cohorts. Also, the amount of sequencing
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negotiable, preferably in autumn 2025 or in 2026. Background Northern wetlands emit large amounts of methane (CH4), a potent greenhouse gas. There are high uncertainties in the estimation of wetland CH4
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for independent creative thinking Skills in computer programming and experience with Linux and possibly machine learning The appointee should either already have the right to pursue a doctoral degree at the