472 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" uni jobs in Austria
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- Austrian Academy of Sciences - OeAI
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- Austrian Academy of Sciences, The Institute for Social Anthropology
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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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large initiative 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
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questions 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
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large initiative 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
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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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Chemistry of Foods (Food Physics) with a focus on Food Structure (Reference code 226) Working time: 40 hours per week Term of the employment relationship: 1st of October 2026, limited to a period of 6 years
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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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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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analytical and chromatographic techniques in combination with the analysis and interpredation of data sets to specifically isolate and structurally characterise bioactive compounds. He/she will investigate
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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