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Business Administration with focus on Accounting, and preferably on issues related to IAS 38 - Investment in R&D. Knowledge of German is an asset, but not required. The candidate should have published
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. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: The Department of Behavioral and Cognitive Biology is looking for a postdoctoral researcher to work in the
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linguistics Good knowledge of, and a willingness to apply and develop at least one functional theory Several publications in international, peer-reviewed journals and book series Experience in teaching at
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databases. Knowledge of European and social law as well as medical law issues is desirable. Excellent knowledge of English (C1) / knowledge of another foreign language, ideally French at B2 level Team player
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the FWF-funded Cluster of Excellence "Knowledge in Crisis” (https://philosophy.ceu.edu/knowledge-crisis ), which is a cooperation between the Central European University and the Universities of Vienna, Graz
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and with expertise spanning knowledge graphs, GeoAI, research data management, geo-semantics, geographic information retrieval, geo-visualization, social sensing, and related fields. We are interested
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events. Didactic skills / experience in e-learning. Excellent knowledge of Spanish as well as of a second Romance language; knowledge of further Romance languages would be desirable, e.g. Catalan. IT
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at the postdoctoral level to run the new Core Facility Animal Care (AC) at the University of Vienna Biology Building (UBB). The AC is grounded on basic research on animal behavior and cognition, but aims to connect
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. This is part of your personality: Completed doctoral/PhD studies in the field of chemistry, pharmacy and similar fields Excellent knowledge in computer-aided drug design and medicinal chemistry Publications
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teach courses amounting to 4 semester hours per week. Your profile: You have in-depth knowledge of contemporary Austrian history since 1918 and are interested in deepening and communicating this knowledge