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of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial intelligence, especially in the areas of reinforcement learning and deep probabilistic models. To strengthen our team
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, especially in the areas of reinforcement learning and deep probabilistic models. To strengthen our team, we are seeking a university assistant to develop advanced machine learning methods for improving
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experience with these animals is not required, but candidates should have a strong interest in working with little-investigated, aquatic, non-model invertebrate animals. The position offers substantial
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particular focus on the consequences of human-driven environmental change, especially climate and land use change. Our model systems are mainly vascular plants, but also include other taxonomic groups. We
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personal sphere of influence: We are seeking a PhD candidate to join the Biochemical Network Analysis group , led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence
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quantitative background have an interest in acquiring methodological skills in areas such as formal (mathematical) modelling and/or (quantitative) empirical testing (conducting experimental research and/or large
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. The hub is anchored within the department as a “shared services” facility, modeled after a Center for Spatial Studies. It thus serves as a central service unit whose services are equally accessible
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and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods such as jackknife and conformal inference
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language processing with deep learning methods, especially large language models. This is a limited term position for 3 months. Your future tasks: You actively participate in research, teaching & administration, which
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language processing with deep learning methods, especially large language models. This is a limited term position for 3 months. Your future tasks: You actively participate in research, teaching & administration, which