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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
replace or supplement traditional planning approaches, which struggles to manage the uncertainty and variability that are inherent in complex engineer-to-order shipbuilding. Realizing the full potential
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-agent systems formal verification modal logic computational logic temporal logic dynamic epistemic logic knowledge representation and reasoning automata theory computational complexity proof theory formal
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administrative workload, the standardization of complex assessments, and reduced professional discretion. There is therefore a need for more research examining how digitalization unfolds in practice. The PhD
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. Defending critical infrastructure such as railroads, bridges, power plants, power lines, airports, harbors, water supplies and more is challenging in a large country with complex geography and harsh climate
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important that you are able to: Highly motivated and interest-driven to explore complex scientific and engineering problems Work independently and in structured way, as well as collaboratively within
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complex data and drawing well-founded conclusions from different perspectives. Constructive and collaborative approach to feedback and teamwork in the context of a research group within a multidisciplinary
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host strains for the expression of complex biosynthetic pathways. Analyse and interpret molecular, expression and production data. Coordinate relevant NTNU activities with partners in the AIMARIA
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increasingly complex, data-rich, and dynamic. Public transport operators, freight carriers, and logistics providers must make decisions under uncertainty while responding to disruptions, fluctuating demand, and
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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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Analyzing complex longitudinal data Writing and publishing scientific papers in international journals Participating in the research group’s academic community, including peer feedback, knowledge sharing, and