31 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at University of Tübingen
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. Applicants should have a background in population genetics/genomics, molecular ecology, biodiversity informatics, or a related field. Experience with large-scale data analysis is essential. Additional
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applications, although this is not the primary goal of the position. What you will bring (position requirements): A PhD in machine learning or data science and a background in computer science, physics
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of molecular plant sciences, plant biomechanics and computational approaches would be desirable. The postdoc should be eager to work within a larger international and interdisciplinary group. Additional
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the bwForCluster BinAC, the University of Tübingen offers access to powerful HPC resources and support with data intensive computing. Through the competence centres for bioinformatics, medical informatics, pharmacy
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16.02.2026 Application deadline : 15.03.2026 The Collaborative Research Center (CRC) 1233 “Robust Vision” brings together leading researchers in machine learning, computer vision, and systems
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funded by the German Federal Ministry of Research, Technology, and Space (BMFTR) under the topic focus “Deep geothermal energy ” within the program “Geoscience for Sustainability (GEO: N) ”. The aim
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uncovering fundamental principles of microbial interactions, resilience, and adaptation. We are expanding our bioreactor cultivation program and opening three PhD positions that will shape new cultivation
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that implements pore-scale results into Darcy-scale models Validate the models using literature data Publish high-quality articles in peer-reviewed journals in the field Present research outcomes at national and
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Center for Digital Education is carried out in collaboration with the Department of Computer Science, the Hector Institute for Empirical Educational Research, the Leibniz Institute for Knowledge Media, and
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, as is knowledge of GIS or quantitative data analysis. The successful applicant is expected to work independently as well as collaboratively within an international research team. Strong analytical