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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
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understanding of intersectoral scientific fields ranging from optical fibre communication design and implementation, components fabrication, artificial intelligence, or techno-economic analysis, which represent
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16.06.2025 Application deadline: 15.07.2025 Our group builds artificial intelligence systems for discovering new concepts, experiments and ideas in physics. To accelerate this effort, we need your
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of Artificial Intelligence tools, on socio-demographic inequalities, demographic outcomes, family formation (e.g. the role of online dating), gender inequalities, intergenerational relationships, and well-being
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
-based modeling b) Modeling with differential equations c) Modeling of metabolic networks and interaction networks d) Deep learning and artificial intelligence Acquisition of third-party funding
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, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the opportunity
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of Bremen Leibniz Institute for Materials Engineering (Leibniz-IWT ) Fraunhofer Institute for Manufacturing Technology and Advanced Materials (IFAM ) German Research Center for Artificial Intelligence (DFKI
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-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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processing, preferably with regard to image processing using artificial intelligence, is required Experience with scoring of plant disease symptoms is a plus but not a requisite Equal opportunities and