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students. You participate in evaluation measures and in quality assurance. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD
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on Japan and basic methods at BA level supporting our administrative tasks, in particular in regard to the u:japan lecture database This is part of your profile: MA degree in Japanese Studies and/or
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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 to examine causal feedbacks
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, including devices and software. You analyze data from Ecological Momentary Assessment studies. You contribute to manuscripts for international peer-reviewed journals You contribute to grant applications and
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should qualify him/her for a doctorate as part of the international PhD program in Management. The program provides knowledge that enables you to apply analytical methods to business management issues
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To support the creation of reports or other formal documentation for university committees and senior staff To respond promptly to requests for documentation and information from the Rector’s Office and other
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://kunstgeschichte.univie.ac.at/en/ Your academic profile: Doctoral degree/PhD Two years of international research experience during or after doctoral studies Outstanding research achievements, excellent publication and funding
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for PhD candidates for 5 different research topics. The position advertised here focuses on legal frameworks vs. technological realities. As digital technologies evolve at an unprecedented pace, legal and
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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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