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models also provide uncertainty estimates in the model and its predictions, allowing the confidence in automated decisions to be evaluated. The goal of this project is therefore to develop learning
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the emergence of unfair loops: our social identity influences our position in the network, determining the results of the analysis algorithms, which are in turn used to make decisions that reinforce our position
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Skłodowska-Curie (MSCA) funded European doctoral network that unites leading institutions to train a new generation of researchers in health economics, causal inference, and the analysis of large-scale
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consideration of the tenacity of the arguments, c) application of scientific concepts in conjunction with the analysis of the processed data, d) independence and originality, and e) ability to express oneself in
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properties and processes, as well as how soil functions are affected by changes in environmental conditions, including climate change. Through research, environmental analysis and education, we contribute
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Skłodowska-Curie (MSCA) funded European doctoral network that unites leading institutions to train a new generation of researchers in health economics, causal inference, and the analysis of large-scale
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. The position is open to computational scientists with an interest in single-cell metagenomic analysis. Applications will be accepted until December 11th, 2025. About the position Bioinformatic methods for single
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of Clinical Microbiology at Umeå University. The position is open to computational scientists with an interest in single-cell metagenomic analysis. Applications will be accepted until December 11th, 2025. About
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Statistics, and Analysis & Modelling. The Discrete Mathematics group consists of 10 faculty members whose research covers a broad range of modern combinatorics. The group runs a weekly seminar and welcomes
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presenting research results orally. Good understanding of life cycle assessment (LCA), its methodology, and analysis using software (e.g., OpenLCA, SimaPro). Experience of laboratory and field sampling and