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version control and containerization (Docker/Singularity) Statistical Modeling: Quantitative data analysis using GLMs, Bayesian methods, or mixed-effect models to interpret complex perturbation datasets
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for tracking both the state of and changes in our environment. In this project, you will: deepen your knowledge of sampling for objective data collection, combine different data sources to create cost-effective
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standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
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Bayesian framework and two specific proposed lines of research: (1) constructing suitable priors via neural networks approximations, and (2) enhancing the sensitivity and efficiency of posterior diagnostics
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for hypergraphs and partially ordered sets (POSets), funded by the Swedish Research Council. This project is concerned with saturation problems for two classes of combinatorial objects: hypergraphs and posets
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disaster risk management, as well as issues connecting these tracks. Environmental science research applies a sustainability perspective to understand and manage current and future environmental problems and
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theories from tractable models (probabilistic circuits) and Bayesian statistics to tackle the reliability of machine learning models, touching topics such as uncertainty quantification in large-scale models
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presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
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. The subject is primarily grounded in environmental science, injury prevention, and disaster risk management, as well as issues connecting these tracks. Environmental science research applies a sustainability
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carried out at Stockholm University will focus on prosumers in energy markets in order to inform market design. As an overarching objective, the project will tackle how the rise of prosumers and