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and the probability theory underpinning it. Experience in one or more of the following is an advantage: large-sample theory/asymptotics/weak convergence of probability measures, martingales, finite
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advantage: large-sample theory/asymptotics/weak convergence of probability measures, martingales, finite-sample statistical theory, concentration inequalities. Language requirement: Good oral and written
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out the catalysis and process conditions study component of the interdisciplinary research project “Renewable energy-driven recycling of CO2 and H2O to consumer products and e-fuels, (CH-CYCLE
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will be admitted to the Faculty of Humanities’ PhD programme . The programme includes a training component of 30 ECTS, corresponding to six months of the employment period. Qualifications and Personal
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developed upon appointment. As a PhD fellow, you will be admitted to the Faculty of Humanities’ PhD programme . The programme includes a training component of 30 ECTS, corresponding to six months
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specialisation in catalysis. The successful applicant will carry out the catalysis and process conditions study component of the interdisciplinary research project “Renewable energy-driven recycling of CO2 and H2O
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violence are characterised. We invite projects seeking to answer how conceptions of violence interact with elements of identity creation, and how narratives of violence affect identity formulation. Projects
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desired private law component) and study how regulations and economic incentives can be designed to avoid barriers and promote business models for hydrogen-based fuels (with a desired public law component
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desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality theory, sequential inference, computational
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allocations, and this doctoral fellowship is expected to have a strong experimental component. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294517/phd-research-fellow-in