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- NTNU Norwegian University of Science and Technology
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on the design and planning of production and logistics systems, seen as integrated systems of people, materials and products, information, equipment, and energy and environmental resources. The research group
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knowledge with impact far beyond the lab. Main tasks Plan and conduct pig experiments, behavioural observations, behavioural tests, taking saliva and blood samples for cortisol analysis, and statistical
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several master’s programs. The faculty provides a PhD program titled Health, Function and Participation. In addition, the faculty co-manages the research area Innovation in the Public Sector in
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several master’s programs. The faculty provides a PhD program titled Health, Function and Participation. In addition, the faculty co-manages the research area Innovation in the Public Sector in
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
be the Head of Department. About SFI FAST – Future Aluminium Structures SFI FAST (Future Aluminium Structures) is a national Centre for Research-based Innovation (SFI) funded by the Research Council
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of seaweed production in general, and design of floating seaweed production facilities in particular. The main cost of a seaweed farm is the longlines, which there may be hundreds of kilometers of. The seaweed
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. The research part of the PhD is in the field of hydrodynamic loads on seaweed and macro algae. The application of the research is towards industrialization of seaweed production in general, and design of
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candidates within Modelling Strength and Failure in Recycled AluminiumAlloys funded through the Centre for Research-based Innovation SFI FAST – Future Aluminium Structures. The positions are linked
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buildings Research at the intersection of fire safety, Digital Twins, and climate-resilient façade design Access to advanced modelling tools, remote sensing data, and real-world case studies Opportunities
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will also design and develop new software and prototype models. Research areas: Computer science, Simulation-based automated synthesis and verification of human physiology models, Artificial intelligence