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doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk framework capturing
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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understudied in boreal forests. To provide guidance for the forest sector to improve biodiversity levels in managed forests, it is crucial to evaluate whether increasing broadleaf stands effectively enhances
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, the adoption of AI in project management remains in the nascent stages. This PhD project will critically investigate how AI is shaping the management of projects and project studies. It aims to generate new
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PDN interconnects, and enabling faster power management loops with better power integrity and savings. By minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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by the POLIMA Center and its extensive network of international collaborators. POLIMA is a Center of Excellence funded by the Danish National Research Foundation (DNRF) for an initial period of 6 years
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. It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates. Apply now Application deadline 28 September 2025 We would
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explicitly considering the full set of variables, it begins with a smaller, manageable subset and iteratively generates new variables (columns) that can improve the solution. This is achieved by solving a