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Palmaria palmata, alongside the optimization of vegetative cultivation in land-based, fish farm effluent-based IMTA systems. The position is based in Trondheim, with experimental work carried out at NTNU and
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for a PhD fellowship in Predictive AI-Based Maintenance and Optimization of Building Energy Management Systems. aiD is one of the new Norwegian AI research initiatives, funded by the Research Council
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efficient and secure operation of low-carbon power systems. The project will focus on market coupling, optimal pricing in market clearing, flow-based capacity allocation, interconnectors modelling, and market
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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. For more information on NIH, visit http://www.nih.no About the Department The Department of Physical Performance contributes through education, research, and dissemination, to an understanding of what
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). You must have documented programming experience relevant to scientific computing, for example in Python, MATLAB, Julia, C++ or similar
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). You must have documented programming experience relevant to scientific computing, for example in Python, MATLAB, Julia, C++ or similar
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transient industrial processes. Advanced dynamic models will be developed to simulate system performance, optimize control strategies, and evaluate system response under realistic operating scenarios
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will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance