89 parallel-processing-bioinformatics positions at UNIVERSITY OF VIENNA in Ireland-University-Ranking-2024
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emphasis on the development of new synthetic methodologies, with a focus on stereoselective synthesis (particularly through chirality transfer processes), methods for conjugate addition, functionalisation
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focuses on acceptance, effectiveness, and mechanisms of action in various digital settings. Other key research areas of the professorship include: Transdiagnostic processes and approach Transcultural
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with community members throughout the research process; carry out qualitative empirical research (e.g. interviews, ethnographic fieldwork, document analysis); analyse empirical material using qualitative
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metabolism of nitrifying bacteria and archaea. As a significant part of these processes takes place in the cellular membrane, this will require the development of biochemical assays compatible with membrane
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with e-learning Knowledge of university processes and structures - Experience abroad Basic experience in research methods and academic writing Application documents What we offer: Work-life balance: Our
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teaching Desirable qualifications are: Initial experiences with the scientific research process Initial teaching experiences Experience in applied psychological test construction Knowledge of university
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spoken English IT skills, especially in the area of word processing, PowerPoint, study administration programs and e-learning programs, or willingness to learn them Organizational and teamwork skills You
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studies. You publish internationally and give academic presentations. You submit research proposals and acquire third-party funding. You contribute to evaluation processes and quality assurance. You
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as Associate Professor; Associate Professors can be promoted to Full Professor through an internal competitive procedure. a dynamic research environment a wide range of research and teaching support
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humanities Experience in the collection, processing and analysis of spoken and/or written German language data Knowledge of NLP methods, as well as experience with large language models, would be desirable