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. The aim of the Norms & Practices Lab of the Cluster of Excellence is to investigate from an interdisciplinary perspective how the advent of transformative machine learning and artificial intelligence
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activities around geospatial big data and geospatial artificial intelligence, with a focus on defining and measuring a spatio-temporal notion of quality for map data. About us: The professorship Big Geospatial
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research? We might just have the right position for you as a research assistant and PhD candidate in generative AI for traffic digital twins. The Chair of Robotics, Artificial Intelligence and Real-Time
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Description Where: At the Chair for Computational and Theoretical Biology ( CCTB ) and the Center for Artificial Intelligence and Data Science ( CAIDAS ) of the University of Würzburg. Project
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence to reason about
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 2 days ago
researchers in assessing, processing, and analyzing social science data in a variety of ways. The advertised positions focus on the intersection of data quality and artificial intelligence (AI). One position
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 15 days ago
fundamental research across computational, physical, and social dimensions, we shape artificial intelligence and robotics to advance knowledge and benefit society. The Optics & Sensing Laboratory (OSLab
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, moorings, gliders, turbulence probes), in modern data analysis, artificial intelligence, data science methods, or in the integration of data and models into digital twins of the ocean is highly desirable
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
quality. Secondly, different machine learning strategies based on traditional supervised learning techniques (e. g. random forest (RF), artificial neural network (ANN)) will be applied using the parameters