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cosmology, with interdisciplinary links to statistical physics and quantum information theory. **In exceptional circumstances, and subject to the discretion of the University and/or the relevant funding body
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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
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: Algebra, Geometry, and Number Theory; Analysis and Dynamical Systems; Probability; and Statistics. There is extensive collaboration between these themes. LUND UNIVERSITY LTH, Faculty of Engineering at Lund
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Infrastructure? No Offer Description The thesis will rely on a multidisciplinary approach combining geochemical analyses, statistical methods, and glacio-climatic modeling. The main objectives are: • Document
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and study designs to conduct rigorous analyses of complex healthcare studies. Develop and implement advanced statistical approaches using software such as SAS, R, or Stata. Contribute to grant
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the field of statistics or bioinformatics English language skills at level C1 Beneficial competences: Competences and experience in experimental research on antimicrobial resistance Competences and experience
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for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. We offer Committed colleagues in an active
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observations, semi-structured interviews, controlled language tasks, as well as advanced statistics (network analysis). Together, the studies you will conduct will inform us about when and how brokering has
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selection and validation, supervised and unsupervised learning, optimization techniques, (deep) neural networks, probabilistic methods and statistics, data visualization, natural language processing