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to research and teaching in the field of quantitative social research. The focus is on the innovative application and/or further development of complex methods and new approaches in quantitative empirical
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develop Digital and Computational Methods for Historical Source Analysis and Edition with a focus on the Modern Period. They will work on new developments in computer science and digital best practice in
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pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally analytical, simulation-based, ethnographic
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or as part of citizen science projects Experience in supervising students (BEd, MEd, PhD) Excellent knowledge of qualitative and/or quantitative methods of empirical social science/educational psychology
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methods in the physical sciences, things are rapidly changing. This project is part of a large initiative that aims to tackle this ambitious challenge by developing and applying new software tools
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formally based in the Faculty of Business, Economics and Statistics, the tenure track professorship may engage in close collaboration with researchers at the Department of Statistics and Operations Research
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accomplished team! Your personal sphere of influence: As a University Assistant Praedoc, you will pursue a PhD under the supervision of Janina Kehr at the Institute of Cultural and Social Anthropology with a
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. Interests could include geological field-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and
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, 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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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