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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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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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expertise of computer vision and biosignal analysis scientists. With decades of pioneering research and strong international collaborations, CMVS continues to conduct globally acknowledged work at the
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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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reaction mechanism generators describing urban air chemistry; Developing volatility estimates relevant for urban chemistry; Developing quantum chemistry-based approaches for organic new-particle formation
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scenarios for various urban environments; Updating and applying reaction mechanism generators describing urban air chemistry; Developing volatility estimates relevant for urban chemistry; Developing quantum
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to Finnish or English. In case the degree is still in process, please give an official notification from the supervisor or faculty to address the estimated date of defense. Contact information of two senior
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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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in one of the following: computational social science, ubiquitous computing, data science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be