134 data-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" positions at UNIVERSITY OF VIENNA
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data science techniques. The Tenure Track professorship will be affiliated with the Faculty of Mathematics under the Key Research Area “Computational Mathematics and Data Science” (https
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under the Key Research Area “Computational Mathematics and Data Science” (https://mathematik.univie.ac.at/forschung/computational-mathematics-and-data-science-comada/ ). Within this focus area, there is
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in leading project staff Didactic skills / experience in e-learning IT skills and excellent MS Office skills, dat Knowledge of: mass spectrometry and analysis of complex data sets (for example: ICP-MS
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researchers using operational and information-theoretic tools to gain insights into quantum foundations, causality, and space-time physics. We are convinced that further progress on open problems in physics is
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Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian
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accomplished team! Your personal sphere of influence: The working group “Probabilistic and Interactive Machine Learning ” within the research group “Data Mining and Machine Learning ” at the Faculty
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Learning ” within the research group “Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial intelligence
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Department of Sociology, you will mainly teach methodologies and methods in qualitative social research (e.g., introduction to qualitative social research, interpretative methods, data collection, data
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) Mathematics, or a related discipline (Statistics, Econometrics) Knowledge in analytical research methods, such as game theory, information economics, or microeconomics Excellent command of written and spoken
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as candidates for the discovery of new drugs. Our research encompasses modern analytical and chromatographic approaches in combination with traditional medicine, chemoinformatics and modern data