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Personalization and adaptive reasoning systems AI for Education Doctoral students will also have access to specialized courses in: Artificial Intelligence, Machine Learning, and Edge Computing Advanced
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Rheinische Friedrich-Wilhelms-Universität | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
techniques from robotics, machine learning, plant phenotyping, and modeling. These technologies lead to new opportunities for field management, plant breeding, or sustainable crop production. The professorship
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, motion tracking, and computer vision methods, we study both typical development (with a strong focus on adolescence) and atypical social behaviours in clinical populations to improve the understanding and
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-based modeling and probabilistic machine learning, tackling problems that arise in molecular systems and heterogeneous materials. Eine Doktorandenstelle im Bereich physik-informiertes generatives
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pursuant to Section 36 of the Higher Education Act of North Rhine-Westphalia (HG NRW). Further information and additional notes can be found at: https://www.uni-siegen.de/start/karriere/voraussetzungen_prof
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
machine learning/AI with modern biology at the AI Hub Heidelberg as part of EMBL AI, a major institutional initiative to embed AI across all areas of life sciences. EMBL provides a unique environment for
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The Cluster of Excellence Physics of Life" (PoL, https://physics-of-life.tu-dresden.de/en ) is an interdisciplinary research center at TUD Dresden University of Technology dedicated to quantitative
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put emphasis on methods of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim
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, organization, compression, analysis, and visualization of georeferenced or geometric data on large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis
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parameters, digital twins, as well as complex nonlinear problems where AI-based methods such as deep learning are used to obtain better predictions. Connections to machine learning methods are primarily