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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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climate scenarios. Using hydrologic and hydraulic simulations to generate training data and assess stormwater system performance under future climate conditions. Designing and applying multi-objective
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providing a basis for decision support and lifetime extension. This may be obtained by comparing existing design practice with results based on application of Bayesian updating to account for uncertainties in
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ethnomycology or ethnobiology large-scale (ethnographic) database construction phylogenetic comparative analyses with Bayesian computational tools The applicant must have the ability to work independently and in
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construction phylogenetic comparative analyses with Bayesian computational tools The applicant must have the ability to work independently and in a structured manner and must be willing and able to cooperate
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for Development and the Environment (SUM), University of Oslo (UiO), is inviting applications for a 3-year PhD research fellowship. SUM is an international research institution with a well-established track record
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policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives. If there are qualified applicants with
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the rights to all research results etc. Inclusion and diversity are goals in the Faculty's strategy. The University of Oslo has a personnel policy objective of achieving a balanced gender composition
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applications for a 3-year PhD research fellowship. SUM is an international research institution with a well-established track record of undertaking critical, independent and high quality interdisciplinary and
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, the role of technology in both traditional sexual violence and new forms of sexual harm have instigated a need for legal regulations of these practices. The objective of Digitizing Sexual Violence is to