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preparedness. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for
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safety, environment, and international preparedness. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission
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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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practices, and pedagogy, all of which provide a solid foundation for interdisciplinary approaches to knowledge development for the future. The programme's overarching objective is to educate candidates who
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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