10 communication-network Postdoctoral research jobs at UNIVERSITY OF VIENNA in United Kingdom
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on Muslim life in Europe, in particular on the institutionalisation and organisation of Islamic communities Analysing the interactions between Islamic law and European legal systems, including ethical issues
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conferences Good teaching skills and experience in university teaching Excellent written and spoken German (C2) Excellent written and spoken English (C1) Team player with strong social and communication skills
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part of your personality: Completed doctoral/PhD studies in theater and performance studies Publications in the field of theatre and cultural studies Lectures and international networking activities in
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, spiroergometry, and dietary assessments Excellent German and English skills, both written and spoken Strong team player with excellent social and communication skills Resilience and high level of motivation What
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strives to strengthen networking within the department beyond the boundaries of the department and the university. Your future tasks: You will actively participate in research, teaching and administration
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home of several third-party funded research projects. Through cooperation with numerous academic institutions worldwide, the Department is very well connected with the international scholarly community
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History. You will be part of the Department of History and will work closely with colleagues here in Vienna as well as with international research networks. Your future tasks: Active participation in
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the Department of European and Comparative Literature and Language Studies, characterized by a broad range of research interests within Finno-Ugric studies in the wide sense of the word and by intensive
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approximation theory can be automated by a (neural network) guided search over the action space of standard tools (e.g., Hölder inequalities, Sobolev embeddings, ...). Certain proofs in these fields require
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developing adaptive numerical schemes powered by advanced nonlinear approximations—like Gaussian mixtures and neural networks. The key challenge? Designing robust and stable numerical schemes that remain