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evaluating user experience along cycling and walking paths, enabling accurate interpretation of thermal variability across space and time. Objective 2 — Find mitigation strategies, design solutions and
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Framework Programme? European Union / Next Generation EU Reference Number 175722 Is the Job related to staff position within a Research Infrastructure? No Offer Description Experimental design and execution
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setups, field experiments, or simulated environments to support algorithm development and evaluation. Design and execute experiments—both controlled and in-field—to validate system performance and compare
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(written and oral) are required. Previous experience in microscopy, nanophotonics, optical design or computational imaging is desired but not a must. Finally, the ability to independently and creatively work
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through which organisms construct their phenotypes, creating a key “phenotypic gap” in demographic theory. The project integrates modelling, experiments and empirical data to understand how developmental
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generative AI systems for healthcare. The successful candidate will contribute to defining ethics-by-design and compliance-by-design frameworks that guide the development and deployment of such systems
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the University College London (UCL) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project will focus on the development of an AI-enhanced design framework for novel
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(both quantitative and qualitative methods), and gain experience in collaborative research of national and international significance. With the guidance and mentorship of experienced researchers
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interest in 3D modeling, generative methods/scripting, parametric design, AI methods, visualization, digital fabrication Didactic talent and enjoying interdisciplinary working and learning methods
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of manufacturing process parameters. Rather than running expensive physical experiments at random, the goal is to design experiment sequences that maximally reduce uncertainty about which process conditions lead to