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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
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using remote sensing and bioacoustics to track forest conditions, to examining soil and microbial processes that support ecosystem resilience, to developing genetic strategies that improve tree
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modern digital infrastructure from emerging network threats. Despite being young, Secura Lab has an excellent track record in publishing at top-tier security and blockchain conferences. At Secura Lab, we
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from emerging network threats. Despite being young, Secura Lab has an excellent track record in publishing at top-tier security and blockchain conferences. At Secura Lab, we strongly believe a healthy
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the Centre for Advanced Middle Eastern Studies (CMES), Lund University. This multidisciplinary project involves partners from the Faculty of Engineering and the Lund School of Economics. Its main objective is
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KTH Royal Institute of Technology, School of Engineering Sciences Subject field Material and structural mechanics Subject description The subject of this tenure-track position is advanced