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Tenure-Track Professor in the field of. Sociology with focus on Quantitative Social Science Research
of Social Sciences at the University of Vienna seeks to appoint a Tenure-Track Professor in the field of. Sociology with focus on Quantitative Social Science Research Methods The position The TT professorship
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complementing the department’s existing strengths in prescriptive business analytics, supply chain management, and production and logistics with dedicated methodological expertise. Although formally based in
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, eye-tracking, physiology, and brain stimulation facilities. The interdisciplinary Methods of Psychology Lab currently consists of several post-doctoral and PhD students with backgrounds in psychology
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welcome applications from all areas of the life sciences, but especially those in tissue-scale and developmental biology, chromatin, RNA and chromosome biology, and synthetic/computational methods
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questions in the field of mathematical automation in numerical analysis or approximation theory. o You implement the developed methods in Lean. o You become an active team member of the "Mathematical Data
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data, stochastic optimization, modern machine learning methods, scalable algorithms for advanced Machine Learning techniques and explainable AI. In teaching, the position will contribute, inter alia
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methods from both Mathematics and Physics, complemented by concepts from Theoretical Computer Science. The group is located jointly at the Faculty of Physics – as part of the Quantum Optics, Quantum
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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(quantitative research methods and advanced proficiency in statistical software such as Mplus, R, etc.) • Teaching experience/experience in e-learning • Experience in student supervision • Excellent
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better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: We are looking for a highly motivated and hardworking Prae Doc (PhD student) for 4