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://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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on the statistical mechanics of equilibrium and non-equilibrium processes. Members of the group contribute to the teaching at the Faculty of Physics at all levels from the Bachelor to the Doctoral program. The
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program offers excellent conditions for doctoral training at the highest level in all areas of mathematics and promotes interdisciplinary and intradisciplinary cooperation. https://mathematik.univie.ac.at
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microscopy, proteomics, metabolomics, next-generation sequencing, and high-performance computing. The Perutz participates in prestigious programs, including the Vienna BioCenter PhD program, the EU-funded VIP3
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programme of high-quality empirical research commensurate with the level needed for a PhD qualification, which advances the field of Environmental Psychology • Publish (or submit for publication) at least
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tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original programme of high
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you independently teach courses in the BA program (proseminars), one course per semester in a 50% employment contract you support the professor for Islamic art history in research, teaching and
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the BA program (proseminar, case study), one course per semester (every fourth semester is free of teaching, according to the employment contract) • You support the professor for Islamic Art History in
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information and to submit your application, see: https://visess.univie.ac.at/phd-programme/funding-possibilities/visess-completion-grants/ . Your future tasks: You actively participate in research, teaching