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Description Join a cutting-edge project developing automated IR spectroscopy tools for solid sampling - ideal for those passionate about spectroscopy, hardware and data science. Job requirements This project
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
funding program starting January 1, 2026. The workplace and employment will be at the Center for Media, Communication and Information Research (ZeMKI) in the research lab "Media & Education" led by Prof. Dr
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. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms to capture
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Join a cutting-edge project developing automated IR spectroscopy tools for solid sampling - ideal for those passionate about spectroscopy, hardware and data science. Job requirements This project
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Sciences Group: Pattern and Image Analysis – Lx Work Objectives: The main goal of DECOLLAGE is to develop new models, methods, and algorithms for language generation with higher-order cognition capabilities
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algorithmic innovation and robot deployment, leading experimental design, system integration, and evaluation on real robotic platforms. The Embodied AI and Robotics Lab (AIR) develops intelligent robotic
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artificial intelligence and robotics. The successful applicant will contribute to cutting-edge research and development in Embodied AI, with a focus on integrating AI-driven perception, reasoning, and action
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computing resources and research equipment Opportunities for professional development and networking Collaborative and innovative research environment If you have any questions, please email Prof. Muhammad
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. This will include the development and application of multivariate analysis and/or classification algorithms including machine learning to extract the features that could be used for diagnosis of different
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identifying the parameters of PDEs, while on the other, newly emerging gradient flow methods hold significant potential for the development of sampling algorithms. The research goals are structured