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geological field-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and climate, and topics could
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personal sphere of influence: As a university assistant prae doc you will complete the research team around Prof. Dr. Christian Koller in civil procedure law. In addition to your independent research, you
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/comp_materials_science * This position comes with possible overpayment depending on education, qualification and work experience. ISTA processes your personal data in accordance with the law. For more information, please
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/2025) and current information on the status of the recruitment process can be found at: https://www.uibk.ac.at/fakultaeten-servicestelle/standorte/technikerstrasse/berufung/ University Professor Dr
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of Vienna, investigating the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods
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the application procedure, please contact: Florian Kolowrat florian.kolowrat@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and
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cultural imaginations of community and relationship, feminist/queer studies and/or collective production/reception processes of literature/film initial practice in academic writing, possibly didactic skills
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and by-products, which can be converted into valuable ingredients with exceptional techno-functional, nutritional, and biological attributes. This process contributes to a more circular economy. The
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research projects and scientific studies in the area of data privacy for dependent data and change-points in Gaussian processes. You publish internationally and give lectures. You apply for projects and
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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