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at OsloMet OceanLab, contributing to research on data-driven methods for sustainable maritime operations. The work will focus on voyage optimization, operational decision support, and control strategies
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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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on effective and safe inspection and maintenance. Current maintenance approaches rely primarily on turbine sensor data, meaning that human and organizational factors are largely overlooked. This represents a
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, reference letters, and all pages of certificates/diplomas for bachelor’s and master’s degrees. Foreign education should be pre-approved, and a letter of approval must be attached. Information is available via
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, GenAI models act as probabilistic black boxes, often producing plausible but factually incorrect information without source attribution. This poses unacceptable risks particularly in high-stakes domains
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— systems. It targets pioneering an architecture optimized for bilateral sensor processing. By fusing multiple data streams, VEST-CHIP aims to improve health tracking accuracy and unlock capabilities such as
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dynamic environments. The positions have four different research questions: Data-Driven Underwater Manipulation Using Artificial Intelligence Resilient Navigation Systems for Autonomous Aerial Vehicles
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reflexive data and policy learning. Expected outputs include a research-based performance, two academic articles, and a policy brief. Creative practice – (trans)forming space, place and the environment
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master’s degrees. Foreign education should be pre-approved, and a letter of approval must be attached. Information is available via the following link: Recognition of foreign education - to work in Norway
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pre-approved, and a letter of approval must be attached. Information is available via the following link: Recognition of foreign education - to work in Norway | HK-dir If you have not completed your