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models to resolve blade loads and structural responses under both operational and extreme conditions, including scenarios with partial out-of-water exposure Uncertainty quantification to ensure robust and
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for simulating flow and pressure response, as well as thermal storage. Also analyzing new and existing data and calibrating models. Duties of the position Complete the doctoral education until obtaining a
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management using (and adapting) petroleum/CO2 storage tools for simulating flow and pressure response, as well as thermal storage. Also analyzing new and existing data and calibrating models. Duties
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of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources
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friendly and supportive atmosphere, with regular gatherings such as professional meetings within the research group, weekly research colloquia, shared lunches, and “Friday coffee” sessions to wrap up
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its stability and power quality compliance in relevant operating conditions. The Researcher will be employed at the Norwegian University of Science and Technology (NTNU) and the workplace will be in
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on childhood dementia CLN3, as part of ongoing research in the Bjørås group . About the project The current project is aiming at developing novel human models for childhood dementia CLN3 to recapitulate disease
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are differentially private algorithms for statistical model parameter estimation under different trust relations. About the project The position is funded by the Norwegian Research Center for AI Innovation and will be
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expertise in nonlinear model predictive control. Expertise in numerical optimal control. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently
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friendly and supportive atmosphere, with regular gatherings such as professional meetings within the research group, weekly research colloquia, shared lunches, and “Friday coffee” sessions to wrap up