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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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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
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models to detect food safety compliance risks Integrate regulatory, environmental, and microbial data from food SMEs Design user-friendly decision support systems for inspectors and producers Co-create and
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, Responsibilities and qualifications Electricity markets are undergoing a rapid transformation: Market participants are deploying AI algorithms towards making their bidding decisions. AI algorithms are instructed
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. This knowledge will support the designation of marine protected areas in line with the “30 by 30” conservation target. A central component of the project is the integration and analysis of diverse data sources
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behaviour and provides active personalised learning for improved instant decision making. Key beneficiaries are expected to be construction industry stakeholders, for example, project owners, architects, engi
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environmental applications of microsystems and the ability to interact with researchers in a very interdisciplinary environment. A high grade average and excellent English language skills are decisive to be