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objectives. Duties of the position The successful candidate will be expected to complete their doctoral education and perform fundamental research, primarily within: Develop and optimize eco-friendly shell
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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; Condition
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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; Condition
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, energy and weather optimal voyage planning including wind assisted propulsion, enhanced situational awareness for safe navigation, and predictive management of green energy storage systems. The PhD
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construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management; Autonomous ships and remote
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set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and
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automated creation of tender documents, specifications, and requirement structures. 2D and 3D spatial reasoning, including general arrangement exploration, layout optimization, and constraint-aware geometry
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the position The Department of Marine Technology at NTNU has a PhD position related to optimal
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on pre-existing/collected data using Supervised/unsupervised fine tuning of the existing models (e.g., Retrieval-Augmented Generation, Low-Rank Adaptation, Direct Preference Optimization, Reinforcement
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in crystalline rocks. Drilling optimization using machine learning, e.g. predicting rate of penetration (ROP) and wear. Investigate the possibilities in automation and robotization and the use