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include: Uncertainty-aware machine learning and stochastic analysis for optimal control under risk Data-driven modeling and forecasting for complex systems in operations, retail, energy, logistics
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will work with the political science component of the interdisciplinary research project “Renewable energy-driven recycling of CO2 and H2O to consumer products and fuels, (CH-CYCLE)”. The appointment is
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, kinematics, porosity and permeability are affected when coal and carbonaceous material are involved. This main aim will be addressed through a series of objectives grounded in the analysis of outcrop data and
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a gender balanced and inclusive environment. The candidate will take part in the larger Cosmoglobe project aiming to do joint end-to-end analysis of a wide range of cosmological datasets, including
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knowledge for precision medicine in brain disorders, building on advanced statistical methods and AI-tools for analysis of large-scale human genetic and neuroimaging data, to better understand how biological
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the Faculty of Humanities’ PhD program. The program includes a training component of 30 ECTS, corresponding to six months of the employment period. Qualifications and personal qualities: The applicant must have
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through applied econometric analysis, data-driven approaches, or more theoretical economic modeling. The position also provides opportunities for international research stays (for example, at the University
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, led by the University of Stavanger. WP2 focuses on comparative analysis of urban morphology, accessibility, and mobility cultures in Norway, Sweden, and South Korea. The project combines GIS-based
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and methodological approaches as well as a feasible progress plan. More about the position The position is available for a period of 4 years. There is a 25% component of the position that is devoted
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for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and neuropsychiatric disorders