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stimulate both learning (formative) and decision making (summative). This PhD project studies how formative assessment and feedback can be optimally used in these assessment programmes to support both
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have helped us understand global market dynamics and policy impacts. Yet, they often rely on assumptions of rational decision-making and overlook the diversity of behavioral drivers—such as institutional
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AI systems are increasingly used in high-stakes decision-making, such as healthcare and hiring, yet they often reinforce societal biases, leading to unfair outcomes. While human oversight is
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description AI systems are increasingly used in high-stakes decision-making, such as healthcare and
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to strategies or decisions that conflict and might not be the best for a sustainable, broad welfare society. Moreover, vision making often happens without explicitly focusing on current short-term demands and
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– Explainable AI with LLMs for Transparent Decision-Making in Design Engineering This project combines classic XAI methods with LLM capabilities to generate human-readable explanations during preference-based
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control over generative shape optimisation. 2 – Explainable AI with LLMs for Transparent Decision-Making in Design Engineering This project combines classic XAI methods with LLM capabilities to generate
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changing spatial regulations. You will also help design economic decision-support tools to inform more inclusive and evidence-based marine policy. Your duties and responsibilities include: analyzing
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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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effectiveness and its legitimacy, and the unintended consequences of the way in which the law is implemented; The study of actors and professions within the (criminal) justice system, including judicial decision