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Field
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will undertake doctoral research focused on activity-based travel behaviour, household energy use, and sustainability policy, contributing to the development of causal inference and agent-based modelling
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and sustained use in primary care remain limited, particularly among disadvantaged populations. The challenge is no longer identifying evidence-based interventions but understanding how to implement and
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framework integrating physics-informed machine learning, scenario generation, and human-in-the-loop preference-based reinforcement learning to prioritise climate-robust and equity-aligned interventions
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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grapevine pathogenic fungi. Based on these experiments, the most promising biocontrol agents will be selected for further studies on their mechanisms of action. Using metabolomic analyses, we will investigate
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-frequency ultrasound waves. We have developed methods to detect such ultrasound waves using light as well, enabling optical microscopy with ultrasound as a contrast agent. In this project, you will build a
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of such agents raises important questions about the level of autonomy that AI system can or should be given in the research process. How can we classify the varying degrees of autonomy, and what level of autonomy
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Agents for Maritime Simulator Training Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The
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on correlation-based machine learning. When an agricultural system fails due to compounding climate extremes - like a simultaneous heatwave, drought, and ozone pollution spike - standard models can forecast the
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of Distributed Mixture-of-Experts (MoE) and Small Language Models (SLMs) to create autonomous, intent-driven networks. This isn't just about connectivity; it’s about building a collaborative, agentic ecosystem