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complex physical phenomena than those represented in simulations, such as heating system dynamics or occupant behavior. Finally, existing legacy building automation systems may not be well-suited to support
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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modelling and monitoring such complex systems. However, the ongoing energy transition also introduces significant uncertainty due to fluctuating renewable generation, dynamic demand, and increasingly complex
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
microstructure evolution during extrusion is critical for controlling final mechanical properties and surface appearance of extruded profiles, yet quantitative predictions remain challenging due to the complexity
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of the PhD work, the motivation and background for WP1 is briefly given below: There are increased operational stresses on the power system due to various factors such as evolving complexity of the power
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analysis tools and ignore the coupling effects, often due to model complexity. This project is based on our earlier experience in drivetrain and global models aiming to build near real time hybrid, data
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13 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Ocean Operations and Civil Engineering Research Field Computer science
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13 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Mar
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of the PhD work, the motivation and background for WP1 is briefly given below: There are increased operational stresses on the power system due to various factors such as evolving complexity of the power
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increasing demands for safe and efficient operations due to growing traffic, more complex vessels, and higher safety requirements. Simulator-based training is essential for preparing maritime professionals