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of computer-aided drug design, pharmacophore modelling, docking and virtual screening. You should be a team player with high social skills You are expected to subscribe to the PhD program of the PhaNuSpo
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Collaboration on research proposals and publications Participation in organisational and administrative tasks Participation in further education programmes Your profile: Successfully completed doctoral or PhD
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-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and climate, and topics could include interplay
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(required), Experience with R or Python (desirable) Experience in one of the following topics: Machine Learning, Data Science or Modeling (desirable) Interest in complex systems Experience in the conception
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: 12.09.2025 Reference no.: 4441 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does
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based on internal research results Establish generalized solutions for simulation and post processing Establish a standardized experimental data acquisition for the development of machine learning
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Grundstufe (praedoc) Limited contract until: 12.09.2025 Job ID: 4441 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us
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of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together
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cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the work will be focused on the maintenance and strategic development of the group's
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12 Sep 2025 Job Information Organisation/Company Universität Wien Research Field Information science » Other Computer science » Computer architecture Researcher Profile Established Researcher (R3