127 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Vienna
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. Your future tasks: You manage the Ecological Momentary Assessment laboratory (EMA lab;https://psychologie.univie.ac.at/en/research/labs/ema-lab/ ) at the department and actively participate in research
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the field of Calculus of variations and partial differential equations. More information about our research area and about our team can be found on our homepage at: https://appliedmath.univie.ac.at/. As a
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the administration of the institute, teaching and research Requirements: Completed Master's degree (or comparable degree) in computer science, mathematics, electrical engineering, information processing or a related
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well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines
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such as the quantum-to-classical transition through coarse-grained measurements, operational reconstructions of quantum theory, indefinite causal structures, extended Wigner's friend scenarios, and quantum
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techniques in combination with the analysis and interpredation of data sets to specifically isolate and structurally characterise bioactive compounds. He/she will investigate the natural products in relevant
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work, have an analytical mind, and a high sense of responsibility. You enjoy working independently and in a structured manner, have technical understanding, are service-oriented, and enjoy finding
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that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology
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particular, the organization and execution of a lecture series in the summer semester of 2026, as well as the planning of workshops and public events, and the development of participatory structures for local
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that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology