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open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you will contribute: in the application of the developed
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-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information
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for bias analysis and validation; collaborate with academic, regulatory, and clinical stakeholders within the EU PE & PV Research Network present findings at international conferences and lead the
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straining electricity grids, which are further challenged by the variability of renewables. Expanding grid capacity is both costly and slow. District heating and cooling networks (DHCNs) offer a smarter, more
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reproductive success are accurately measured, which is vital for studying ageing but is rare in wild populations. We will analyse longitudinal changes in social networks and biological age (using an epigenetic
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-quality teaching and research. Belonging to the best research universities of Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly
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written English (C1 level). Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative
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network, PNAS 121, e2319718121 (2024) Qualifications We seek candidates with a strong background in physics, mechanical engineering, materials science, or computer science with an interest in complex meta
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multicultural and multi-disciplinary team (see TU Delft Code of Conduct for what you may expect from your colleagues and what is expected from you in return: https://www.tudelft.nl/en/about-tu-delft/strategy