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within the "Interdisciplinary Values Research Network". The advertised position therefore offers you the opportunity to work in an interdisciplinary and internationally oriented team. Your future tasks
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Tenure-Track Professor in the field of. Sociology with focus on Quantitative Social Science Research
network. The teaching portfolio includes courses in the areas of quantitative empirical methods and statistics for sociologists. Empirical research is a focus area at the Department of Sociology
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empirical social research in sociology such as causal inference or machine learning or complex panel data analysis. We are seeking excellent applicants with an international research portfolio and network
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for Teacher Education. International networking capabilities must be clearly demonstrated. The tenure-track position is embedded in the area of Sport Pedagogy and Physical Education Didactics at the Department
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, functional diagnostics, dietary assessments) Strong networking and diverse development opportunities within the University of Vienna Inspiring working environment: you are part of an international team with
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setting Excellent networking and diverse development opportunities within the University of Vienna Inspiring working environment: you will be part of an international team with excellent research
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Excellent networking and diverse development opportunities within the University of Vienna Inspiring working environment: you will be part of an international team with excellent research infrastructure and
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of the following areas: Cloud/Edge Computing Edge Intelligence/Edge AI Federated Learning Internet of Things Sensor Networks Latency/Performance Optimazation, Scalability Fault Tolerance Energy
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be the conceptual and mathematical understanding of the original Penrose spin network, with a view toward foundational notions such as geometry, subsystems, probability, and related concepts. This is
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with layers reflecting the built environment - Add appropriate metadata and labels - Submit the graphics in the cover letter along with: - The code (Python, R, or MATLAB) (as an appendix, in