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for supervisory risk control. A theoretical foundation for risk visualizations to human supervisors for both single and multiple autonomous systems. To contribute to synthesizing the research results in
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the fundamental challenges related to risk acceptance and ethics that arise when risk is quantified and measured, which is necessary for both human decision support and for supervisory risk control. A theoretical
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will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will be affiliated with the subject area of customs and border control. Since
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written and spoken English. A good command of a Scandinavian language is an advantage but not a requirement In addition, experience from research projects and publishing in academic journals will be
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models with hard-to-control outputs, we will focus on balancing data-based approaches with artists’ knowledge and search-based methods to achieve personalised and novel outputs. This position will have a
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to work independently and in a team, be innovative and creative ability to work structured and handle a heavy workload having a good command of both oral and written English via Unsplash Requirements
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structured and handle a heavy workload having a good command of both oral and written English Requirements for competence in English A good proficiency in English is required for anyone attending the PhD
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accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who are seen to be
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include: Uncertainty-aware machine learning and stochastic analysis for optimal control under risk Data-driven modeling and forecasting for complex systems in operations, retail, energy, logistics
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the regulations in force concerning State Employees and Civil Servants , and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application