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methods to address complex challenges in economics and business. In addition, the DataScience@Uni Vienna research network offers extensive opportunities for cooperation with researchers from various
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tensor networks or convex relaxations, to the study of complex quantum systems • Excellent command of English, both written and spoken • A goal-oriented personality with a high motivation to strive
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Tenure-Track Professor in the field of. Sociology with focus on Quantitative Social Science Research
opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. At the Faculty
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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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opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. The Faculty
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opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. The Centre for Sport
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increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. More information: https://sc.cs.univie.ac.at/ Your future tasks
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network under the direction of Prof. Dr. Annie Waldherr and Prof. Hajo Boomgaarden, PhD. The aim of the CCL is to improve our understanding of the causes, processes and effects of mediated communication
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opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. The Faculty
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Networks (PINNs) perform when tackling these tough equations. We’re diving into key questions such as: How does the presence of a small parameter affect the number of training points needed? How complex does