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). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in Challenge-Based Learning (CBL
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, extensive experience designing and leading initiatives across complex, multidisciplinary and multi-stakeholder environments; demonstrated excellent leadership, relationship management and oral and written
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
from training LLMs to ensuring their conformity to European legislation (AI Act, GDPR, etc.). The ALT-EDIC consortium includes organizations working in more than 20 countries, which ensures fair
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allows us to arrive at a better understanding of human behaviour and movement. Our aims are to help people live healthier lives, learn better and function better. Are you interested in joining Behavioural
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group focuses on enhancing our knowledge of the Human Leukocyte Antigen (HLA) class I/II processes of antigen processing/presentation by mass spectrometry-based proteomics and immuopeptidomics from
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to an interdisciplinary learning environment that brings together perspectives from the humanities, the social sciences, and technological fields, reflecting the increasingly interconnected nature of storytelling with and
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freely. - a broader mind. Maintaining an entrepreneurial perspective and concentrating on diversity, significance and humanity, we work on sustainable solutions with social impact. By joining forces
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and concentrating on diversity, significance and humanity, we work on sustainable solutions with social impact. By joining forces, across the boundaries of disciplines, we work towards a better world
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aims to use improved access to digital heritage to tutor the Digital Citizen in the use of big data. It brings together AI researchers and Digital Humanities scholars to seek solutions to the problem
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. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms