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related field Sound knowledge in the field of artificial intelligence and machine learning Ideally experience with knowledge graphs, semantic search, graph neural networks (GNNs), explainability
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for predicting distributed responses and tipping points in dynamical systems employing computer algebra and advanced numerical techniques; supporting Chair in all matters, including the support of grant
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of the Leibniz Association. The following position is available at the Institute subject to approval by the funding organization from October 1, 2025, for a fixed term of three years, in the program
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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nationality from biological sciences, chemistry, mathematics, computer sciences and physics. Be part of CiM-IMPRS, a program run jointly by the University of Münster and the Max Planck Institute for Molecular
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available in the further tabs (e.g. “Application requirements”). Objective TheMuseumsLab is a programme for joint learning, perspective exchange, networking and career building among African and European
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outstanding students from all over the world to apply for PhD positions in our renowned PhD program. Based in Hamburg, our program offers excellent training and top-level structured supervision in climate
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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centre with cutting-edge laboratories and on-site computer clusters Enjoy the highly international work environment and benefit from our renowned collaborators across the globe No teaching requirement, you
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available in the further tabs (e.g. “Application requirements”). Programme Description SECAI scholarships were created to support outstanding students who intend to study AI or a related field at TU Dresden