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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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% 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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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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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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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
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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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combining high-resolution imaging, functional genomics, single-molecule biophysics, and computational modelling Candidates should have a proven track record in biology, biophysics, or computational science
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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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squids as a model organisms. Completing your doctoral thesis agreement within 12 to 18 months. Working on and completing your dissertation. Independently teaching courses in accordance with the collective