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/quantitative research methods Documented programming experience for example GitHub project on MATLAB, Python, Julia, Javascript Possesses a strong academic record, with relevant experience in either industry
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, programming, systems thinking, and qualitative/quantitative research methods. Documented programming experience for example GitHub project on MATLAB, Python, Julia, Javascript. Experience in mathematical
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corresponding to master’s degree level Knowledge of matching-to-sample (MTS method) Excellent written and spoken English Admission to the PhD programme in Health Sciences is a prerequisite for the position. In
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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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technology. Biofilm-based bioreactor design, construction and operation. Biofiom characterization and knowledge of DNA sequencing. Solid knowledge on standard methods for wastewater characterization
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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
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-use ropes in aquaculture, exploring their usage patterns, methods to reduce their consumption, and the implementation of biodegradable alternatives. The project work will involve field experiments