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value chains. The objective of this PhD project is to develop AI enabled route planning and navigational intelligence for risk based and energy efficient maritime navigation. The work will use
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to evaluate candidates’ characteristics, abilities, and suitability for the position. These tests help ensure a fair and objective evaluation of all candidates and support us in identifying the most qualified
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and personality tests We use aptitude and personality tests to evaluate candidates’ characteristics, abilities, and suitability for the position. These tests help ensure a fair and objective evaluation
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economics and the Research Council of Norway. Its objectives are to advance research and post-graduate training in relevant fields. An ideal doctoral candidate at CAMP has a strong quantitative background and
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-funded Marie Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project
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with great enthusiasm, and the mission of the Norwegian Maritime AI Center is therefore to accelerate operationalization of AI in the maritime value chains. The objective of this PhD project is to
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. The objective of this PhD project is to develop learning-based methods for maritime tracking and prediction in time- and safety-critical applications. Artificial intelligence techniques will be utilized in order
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. The main aim of this project is to investigate the possibility of using geothermal energy, coming from EGs close to the road, to limit or prevent icing and damage to roads. The specific objectives
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. The objective of the research is to use machine learning methods to find models of ship trajectories and traffic patterns that can be used to detect anomalies and predict into the future. The basis for this is
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. The applicant must have academic training and practical experience in data science applied to healthcare have experience with mass spectrometry-based proteomic bioinformatic pipelines be proficient in one object