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, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 01/20/2026 Prae Doc
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Lecturer at the Department of Sociology, you will mainly teach methodologies and methods in qualitative social research (e.g., introduction to qualitative social research, interpretative methods, data
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expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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or colloidal assembly is an advantage) Evidence of scientific writing and publications is a plus. Excellent communication and data presentation skills Fluent in English (German is an advantage) Motivated
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academic achievement (at least in the field of civil and commercial law) Very good written and spoken German Very good written and spoken English Excellent computer skills (MS-Office) Experience in working
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in combination with traditional medicine, chemoinformatics and modern data anlysis for the targeted identification and isolation of bioactive metabolites from complex mixtures. The candidate will use
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expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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traditional medicine, chemoinformatics and modern data anlysis for the targeted identification and isolation of bioactive metabolites from complex mixtures. The candidate will use analytical and chromatographic
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computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods to improve the efficiency and robustness of microbial and enzymatic production systems. You will design and
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the fields of Economics, (Applied) Mathematics, or a related discipline (Statistics, Econometrics) Knowledge in analytical research methods, such as game theory, information economics, or microeconomics