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in geological systems far from equilibrium. We conduct research on earth systems that range in scale from atoms to continents and apply methods where fieldwork, numerical modelling, experiments and
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methods with focus on machine learning, together with a strong interest in applications to medicine, including basic medical research, clinical medicine, epidemiology and/or public health. The post is with
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at the University of Oslo. The main goal is to develop tools and knowledge for precision medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging
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on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe brain
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/or a well-described interest in the field of economics of innovation and the economics of ICTs / AI. Experience with one or more of the following empirical research methods will be considered
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of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas
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-FATES model using: Snow cover Flux tower data The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently
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, and intermittency and pattern formation in geological systems far from equilibrium. We conduct research on earth systems that range in scale from atoms to continents and apply methods where fieldwork
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an important factor in the evaluation process and should be well documented in a teaching portfolio. The applicant should describe her/his qualifications in view of the Scholarship of Teaching and Learning (SoTL
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that range in scale from atoms to continents and apply methods where fieldwork, numerical modelling, experiments and theory act in concert. The center includes the Oslo-branch of PoreLab, which is a Center of