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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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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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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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models. Strong expertise and state-of-the-art instrumentation for preclinical development of novel anticancer drugs are provided by this team. The contract duration is 3 years with a preliminary limitation
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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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You become an active team member of the “Applied Mathematics and Modeling” research group. Interdisciplinary collaboration: o You participate in international scientific collaborations, as well as in
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of Vienna, investigating the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical 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