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at Stockholm University. We have a strong tradition in sampling but areas that we are growing in include, but are not limited to, Bayesian inference, the intersection of statistics and machine learning
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phylogenetic analysis over traditional Bayesian methods, and this capacity for improvements will have substantially more impact on the more complex MSC model. The project will develop an efficient framework
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. This calibration step will be based on a Bayesian optimisation approach that needs to be refined for this purpose here. The calibrated module will then be used to estimate pan-tropical wetlands CH4 emissions over
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to galaxy evolution and observations of galactic magnetic fields. Experience with Bayesian statistics is advantageous. Strong verbal and written communication skills in English are required. To qualify
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The Department of Statistics employs about 15 researchers, teachers, doctoral students, and other staff. We conduct research in several areas: analysis of high-dimensional data, Bayesian methods
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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Department of Ecology We are looking for a postdoc/researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoc
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We are looking for a postdoctoral researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoctoral researcher
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We are looking for a researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models. About the position A researcher position is available in
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/journal.pgen.1007969). As starting point, we have mutants disrupting this mechanism for further research. In addition, a key aspect of this project are “Epigenome Engineering” methods. These rely on targeted