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of geomorphic processes as well as in the applied research in the thematic areas global environmental change, natural hazards and –risks, vulnerability, multi-hazard risk and early warning systems. The position
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Interest in process geomorphology, natural hazards, local and spatial monitoring, landslide analysis and modeling Profound field experience Greatest interest in landslide early warning systems inclusive
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. At the heart of the cluster, three interconnected research pillars drive innovation: Sustainable Natural Resource Utilization Microbial and Enzymatic Conversion Process Circularity Your personal sphere of play
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of written and spoken English (C1 Level), futhermore good command, if necessary IT user skills: e.g. word processing, spreadsheets, use of LLMs Knowledge of is desirable: Basic knowledge of computer-aided drug
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scientific track-record (e.g. publications in high-impact journals). Good programming skills at least in one of the high-level languages is essential. Proficient in English, the working language at ISTA, and
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project completion. This is part of your personality: AHS or BHS degree, Master's degree in pharmacy (or a related degree), doctoral degree in natural sciences. Languages: German - very good knowledge (must
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ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an PhD Contract in Natural
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on the outskirts of Vienna. In 2019, ISTA was ranked #3 in the world-wide Nature Index ranking (normalized). In 2018, ISTA was ranked within the top ten of Nature Index Rising Stars “Top 30 academic institutions
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programming languages Quantum compilers, transpilers and runtime environments Quantum information theory and error correction Quantum learning Quantum security Applications for devices of the near future We
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Sciences at the University of Vienna invites applications for a Tenure-Track Professorship in Natural Product Research The position The identification and chemical-functional characterization of molecules