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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
application process here. About the position The Department of Department of Mechanical and Industrial Engineering is offering an exciting PhD position within the Norwegian Maritime AI Centre , a national
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normally requires that you are physically present at the Department of Information Science and Media Studies. Required is a documented background in one or, preferably, more of the areas: logics for multi
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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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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with
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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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to them. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in
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. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with
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social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. About the application Your application and supporting documentation must be in
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are applied in real-world settings characterized by large-scale networks, stochastic demand, operational disruptions, and complex constraints. A central research question is how machine learning can be