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these systems and creating models that respond safely to emotional cues, respect cultural variation, and adapt to human interaction. This requires rethinking both what we measure and how we design models. The PhD
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aware. The goal is to move beyond accuracy by understanding how people engage with these systems and creating models that respond safely to emotional cues, respect cultural variation, and adapt to human
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emotionally and socially aware. The goal is to move beyond accuracy by understanding how people engage with these systems and creating models that respond safely to emotional cues, respect cultural variation
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to engineer or regenerate vessels, as well as to vascularize tissues and organ(oid)s, should therefore take these variations into account. A vital feature shared by all these diverse blood vessels is the
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training. Generative AI model training, Design and implement generative models such as Generative Adversarial Networks, Variational Autoencoders, and Diffusion Models to generate realistic ship designs
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training. Generative AI model training, Design and implement generative models such as Generative Adversarial Networks, Variational Autoencoders, and Diffusion Models to generate realistic ship designs
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within the new rationale. TU/e received a NRO research grant for the future of higher education to study how to co-create content-wise open, yet time-bound engineering curricula that are constructively
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outbreaks, yet the scientific literature paints a conflicting picture. This projects aims to reveal the ‘why?’ behind the variation in diversity-disease relationships. What mechanisms of pathogen transmission
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organizing collective behaviour Analysing interspecific variation in swarming behaviour using comparative and statistical approaches Exploring evolutionary hypotheses by clustering behavioural traits and
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take these variations into account. A vital feature shared by all these diverse blood vessels is the presence of endothelial cells (ECs), the specialized cells that line the vessel lumens and are in