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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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Kleitz at the University of Vienna mainly focusses on the development of nanoporous materials, their characterization, and their applications in numerous fields, such as catalysis, adsorption, bio- and
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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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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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and developmental biology, chromatin, RNA and chromosome biology, and synthetic/computational methods (including AI/ML) that will address complex biological questions from a mechanistic angle. Together
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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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to the faculty committee of the Doctoral School within one year after coming to Vienna (Faculty public presentation). You independently teach courses in the BA program (proseminar, case study), one course per
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team: This is an opportunity to work towards a PhD in physics and to conduct world-leading research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic
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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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of experimental, field-based and computer-assisted methods will be taught. In the area of statistics, the focus is on applications of SPSS and R. Your future tasks: As a Senior Lecturer, you will be involved in