76 high-performance-quantum-computing-"https:"-"https:" positions at UNIVERSITY OF VIENNA
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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. The programme is organized
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- MUST German - Excellent knowledge - SHOULD Computer-Skills: Type of computer skills / Specified computer skills / Importance Statistics Statistical analyses - MUST Modeling - Ecological Modeling - SHOULD
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if we can take your professional experience into account. See also University of Vienna salary scheme / Gross-net calculator (available only in German). Equal opportunities for all: We welcome every
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. In a place where exchange is successful, with the necessary freedom, professionalism, and high standards. Your personal sphere of influence: The Mass Spectrometry Centre (MSC) is located in the heart
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of subsequent permanent employment. Your future tasks: Operation and management: Contribute to overseeing the daily operations of the NMR core facility and the coordination with the shared hyperstructure with
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, teaching and administration, which means: Collaborative and independent research in organic synthesis: Develop and pursue an original research program focused on new organic reactivity, synthetic methodology
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University of Vienna. The program is known for its international environment, coupled with science at the highest level and high-quality education, making it one of the leading centers for doctoral training in
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command of German and English is required, knowledge of other foreign languages is an advantage. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is
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, Computer Science, Natural Sciences and/or experience in data stewardship Interest or experience in the area of Research Data Management and Open Science Good knowledge of research practice, as well as a broad
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the organisation and execution of program events, workshops, and meetings. Monitor the effectiveness of communication measures and monitor media trends and public discourse in relevant scientific areas, using