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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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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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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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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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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
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, enabling multi-vessel charging and scalable maritime electrification. Advanced control strategies and data-driven optimization methods will be considered to enhance the efficiency, sustainability, and
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antibiotics that are effective against multi-resistant infections are not being developed quickly enough to be used in the treatment of drug-resistant microbes. Drug formulation plays a critical role in the
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design processes for architecture that respects the limitation of resources Design and evaluate multi-perspective teaching methods for an architecture of limited resources As a PhD Candidate, you will work
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. Learn and apply advanced statistical methods to analyse multi-year data from a house sparrow metapopulation to answer key questions in evolutionary ecology related to conservation biology, especially