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: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and
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developmental biology, chromatin, RNA and chromosome biology, and synthetic/computational methods (including AI/ML) that will address complex biological questions from a mechanistic angle. Together with IMP, GMI
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interested in behavioral aspects pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally
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of Porous Materials lead by Professor Freddy Kleitz at the University of Vienna mainly focusses on the development of nanoporous materials, their characterization, and their applications in numerous fields
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the German-speaking world and is home of several third-party funded research projects. Through cooperation with numerous academic institutions worldwide, the Department is very well connected with
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independently teach courses in the BA program (proseminar, case study), one course per semester (every fourth semester is free of teaching, according to the employment contract) • You support the professor
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the development of novel computational materials discovery and molecular simulation methods. You take a key role in the research and management of the Computational Materials Discovery group. You supervise and
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geological field-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
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and determination? We are currently seeking a/an University Assitant (praedoc) - Completion Contract - DM & ML 39 Faculty of Computer Science Job vacancy starting: 01.11.2025 (MM-DD-YYYY) | Working
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-resolution (scanning) transmission electron microscopy, single-atom spectroscopy, and computational physics. Job description: We are looking for a motivated and talented individual to join the group as a short