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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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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization
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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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Evan Solbraa (EPT). About the project The position is a part of the AI-Powered integrated Reservoir, flow, and process Optimization (AI-PRO) project. The goal of the project is to produce generalizable
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influenced by optimal training and technique in both a sport and health perspective as well as in rehabilitation of patients. The department's activities take place in "state of the art" laboratories, equipped
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. These simulations are essential for optimizing the design and placement of wind turbines in complex terrains. Multiscale approaches utilize advanced computational techniques, including nested grids and adaptive mesh
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transfer when the placenta does not function optimally, and how fetal cell transfer may influence the mother’s health later in life. In particular, the project asks whether fetal cells transferred
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will feed into an automated stope design workflow, producing variable-length, locally adaptive geometries that optimize the balance between stability, recovery, and dilution control. Through
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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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or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid