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of the employment period. Experience in experimental and computational mass spectrometry methods is an advantage. Experience in the preparation of bulk and single-cell BCR libraries is an advantage. Molecular biology
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economics of ICTs / AI. Experience with one or more of the following empirical research methods will be considered an advantage: applied microeconometrics and causal inference; machine learning and data
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with and/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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with and/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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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 adopted in CLM