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profound internal traits – such as goals, opinions, values, and beliefs – and dynamic situational factors, including emotional states, conversational context, and the specific relationship between speakers
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for downstream applications such as mapping, simulation, analyses and other related uses. This PhD investigates methods to transform raw 3D data into structured scene representations that integrate
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secondments, and structured training in transferable skills. The candidate will be enrolled in a recognized PhD programme and supervised by internationally leading researchers. The TRILOGY network focuses
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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and
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individual micronutrients (MNs) influence cellular metabolism and mitochondrial function in health and inflammation. Although MN deficiencies and altered intracellular MN dynamics are frequently observed in
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microsystems, mesoscale components, and printed electronic or structural elements, including those fabricated on flexible and/or biodegradable substrates, with transduction functionalities exploiting various
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and dynamic regulation for GPAI governance. Topic 2 - Encoding ethical principles in model alignment. Topic 3 – Improving risk awareness in the use of GPAI. Topic 4 – Countering the malicious use
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with factual accuracy, complex reasoning, and the nuanced social dynamics of harmful content. This PhD project aims to overcome these hurdles by developing knowledge-enhanced neural generation frameworks
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, and the integration of compliance requirements into decision-making structures. It will combine doctrinal legal analysis with case studies and design-oriented methodologies in order to develop
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, this doctoral program aims to study the current state and potential development of political, legal, and business-economic systems, employing a historical-comparative approach (examining the formative dynamics