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actively participate in research, teaching & administration, which means: Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models
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Very good knowledge of qualitative and quantitative social science methods Independent, structured and solution-oriented approach to work, ability to work in a team High level of analytical skills
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. Excellent knowledge of Modern Greek is required. Applicants should apply, in an interdisciplinary perspective, various approaches and methods that allow the study of all kinds of sources. Publications in
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instrumental analytical methods and, on the other hand, will deal with the computer-aided analysis and processing of large analytical-chemical data sets. Experience and knowledge of digital teaching and
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structural manipulation using electron and ion irradiation combining experimental materials physics, atomic-resolution (scanning) transmission electron microscopy, single-atom spectroscopy, and computational
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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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to bridge the gap between regulatory aspirations and real-world constraints and outcomes, offering innovative approaches to compliance monitoring in an era where traditional methods are increasingly
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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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39 Faculty of Computer Science Startdate: 01.11.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 05.07.2025 Reference no.: 4249 More than
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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