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intelligence, 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
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, with a 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
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are available. Previous 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
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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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% of their graduating classes) have a strong quantitative background have an interest in acquiring methodological skills in areas such as formal (mathematical) modelling and/or (quantitative) empirical testing
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is part of the “Mathematics and Biosciences" research group, which is led by Prof. Joachim Hermisson. We are looking for an independent scientist interested in mathematical modeling in the areas
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detailed dynamical models of galaxies and stellar clusters to infer the distribution of luminous and dark matter as well as to uncover the formation history of these stellar systems. Ready to be part of our
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using deep learning methods. The focus of our research is in the area of natural language processing with deep learning methods, especially large language models. This is a limited term position for 3
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using deep learning methods. The focus of our research is in the area of natural language processing with deep learning methods, especially large language models. This is a limited term position for 3
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Chemistry, Chemoinformatics, and Molecular Modeling Excellent knowledge of English (C1)/ Excellent knowledge of German Team player and high social/communicative skills High resilience Ability to deliver