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generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technology, ethics and machine learning, in
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Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
biophysics and sustainability thinking Follow our PhD program that include an educational component This is the right position if you are highly motivated about fundamental science and excited about questions
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of Social Sciences’ PhD programme within relevant disciplines in the social sciences or the humanities. The master’s degree must be of high quality (grade A or B) and within a specialisation of relevance to
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Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see: http://www.uio.no/english/research
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for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in the social sciences or the humanities. The master’s degree must be of high quality (grade A or B) and within a
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combines approaches from computational physics, machine learning, neuroscience, and gene technology. The postdoc is expected to contribute to develop machine learning models for the construction
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NorSink will lead to a step change in the emerging science of carbon budgets and forecasting, and provide decision makers with the knowledge to design effective climate policies as Norwegian and European
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and society. Integreat draws on the research strengths of researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology