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on turning high-quality (smart meter, grid, or weather) data into actionable insights and better-informed decisions through advanced data analytics. When this energy data is shared, it can be exploited by
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are decisive in the assessment of the candidates: the applicant’s academic qualifications (assessed on the basis of the qualifying degree) the quality and relevance of the project proposal the applicant’s level
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. Quantitative risk-benefit assessments (RBAs) of transitions to more sustainable diets are therefore highly valuable in aiding authorities, such as the Danish Veterinary and Food Administration, to make decisions
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possible after the application deadline with respect to the candidates’ suitability. As soon as a decision is made, we will notify candidates. If candidates are still eligible after the pre-selection
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Division at DTU Management. The PhD project aims to analyze and optimize Hospital-at-Home concepts using data-driven decision-support addressing challenges like long distances to specialist care and high
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framework for structural condition assessment to support resilience-oriented decision making in offshore marine infrastructures. An accurate and fast (near real-time) damage detection scheme lies in the core
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and data-driven framework for structural condition assessment to support resilience-oriented decision making in offshore marine infrastructures. An accurate and fast (near real-time) damage detection
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landscapes. Research Project & Objectives This PhD project aims to develop a physics-informed and data-driven framework for structural condition assessment to support resilience-oriented decision making in