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to enhance their indoor environment in a sustainable and cost-effective way. Simulations in combination with IoT sensors and devices, real-time data collected from pilot-scale and a residential building will
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the Faculty of Law requires grades in the upper level of the grading scale. This also applies to the master’s thesis. Desired Knowledge of quantitative research methods is desirable. Knowledge of international
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novel computational models for intelligent analysis multi-variate time-series data during their PhD studies. actively take part in inter- and multi-disciplinary research activities relevant to AI Hub
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to: actively take part in inter- and multi-disciplinary research activities relevant to AI Hub hosted by Østfold University College. disseminate research results on the project through high-quality scientific
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collaboration skills and the ability, willingness, and commitment to work in a multidisciplinary team. Admission to the PhD programme at the Faculty of Law requires grades in the upper level of the grading scale
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climate scenarios. Using hydrologic and hydraulic simulations to generate training data and assess stormwater system performance under future climate conditions. Designing and applying multi-objective
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combination with multi-fidelity response models. The multi-fidelity models may include combinations of physics-based response models, Artificial Intelligence (AI) models and probabilistic methods. Your
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and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale . If you do not have letter grades from previous
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degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic
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be changes in the area of work. Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service