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Description The ERC-funded project “Network Epistemology in Practice” (NEPI) is seeking a research assistant in the Digital Humanities with a strong interest in the history, philosophy, and/or sociology
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(Fixed-term and full-time for 2 years). Your future tasks Developing critical research pertaining to the impact of digital technologies on politics (broadly defined) (ideally country- or region
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Department Computational Social Science (CSS), Team Digital Society Observatory located in Cologne, is looking for a PostDoc / Senior Researcher in Computational Social Science (Salary group 13 TV-L, working
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | about 1 month ago
will concentrate on AI methods for assessing survey data quality, while the other will focus on AI methods for assessing digital behavioral data quality. The successful candidates will be affiliated
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on formal verification and reachability analysis using logical zonotopes, with applications in digital circuit verification and model checking. Candidates should have a strong mathematical background and
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core facilities diverse international collaborations structured project meetings and institute seminars electronic lab books, digital lab management integration into an interactive local research
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
of analogue and digital circuit technology and digital signal processing Knowledge of magnetic sensors, in particular magnetoresistive sensors is an advantage Knowledge of magnetic flux leakage and eddy current
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agents in display-advertising auctions. The economic properties of such systems are still poorly understood. In general, learning procedures in game-theoretic problems can exhibit cyclic behavior or even
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, Human-Computer Interaction, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related
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areas of energy, infrastructure, environment, materials, and chemistry and process engineering. The project aims to develop a digital twin (DT) for predicting and managing corrosion and microbially