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virtual reality game and its biofeedback algorithms. You will perform user-interaction tests in target groups and record and analyse psychophysiological measures of autonomic nervous system balance during
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categories, AI risks remain difficult to identify and assess. Many arise not only from technical limitations but from interactions among algorithms, users, workflows, and clinical environments. This requires
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to investigate how to design AI artefacts, including user interfaces and algorithms, through participatory approaches that actively involve stakeholders (e.g., technology designers and actors from
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techniques and machine learning algorithms. The goal is to decipher patterns in the bioelectrical signals. Project UID-50008-2025 funded by FCT-Fundação para a Ciência e a Tecnologia. Scientific Area: Basic
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research will focus on developing Bayesian Optimization of Experimental Design (BOED) algorithms. These algorithms aim to cost-effectively accelerate reliability tests for TM-GSES components, maximizing
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); Agentic AI: Exploring multi-agent systems and their dynamics; Explainable AI: With a particular emphasis on mechanistic interpretability. Invent, evaluate, and publish novel algorithms, aiming
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estimation, calibration, and out-of-distribution detection. The PhD candidate will work on novel algorithms, theoretical insights, and large-scale empirical evaluations, with a strong emphasis on
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explainable AI for large-scale and complex datasets by developing algorithms, pipelines, and tools suitable for critical decision-making contexts. The doctoral student will be based at the Health Technology
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dynamics; Explainable AI: With a particular emphasis on mechanistic interpretability. Invent, evaluate, and publish novel algorithms, aiming for theoretical guarantees when working with structured and
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PhD Studentship: Quantum Algorithms for Nuclear Level Densities Atomic nuclei have a rich structure, with heavy nuclei having many excited states – of order thousands or higher. Knowledge