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into their existing structures and processes. The analysis of these theory-practice transfer processes, as well as the insights gained regarding implementation, are to be made accessible to a broad public. In
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Selection process The Medical University of Vienna aims to increase the proportion of women in leadership positions, encouraging qualified female candidates to apply. In case of equivalent qualifications
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on applying computational methods to psychological and clinical domains, especially large language models, natural language processing, machine learning, and statistical modeling for the analysis
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investigates Processes and Effectiveness of Psychotherapy and Therapeutic Interventions. Other key research areas of the professorship include: Evidence-Based Psychotherapy Digitalization, e.g., AI, in
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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
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tools (Docker, Kubernetes) is a plus. Familiarity with AI and machine learning concepts, and a basic understanding of natural language processing (NLP) and data analysis. Basic understanding of OSINT
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Extensive experience across the entire academic publishing process, from research design and data collection through to successful publication Demonstrated success in developing, preparing and securing
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administrative law Teaching skills are a plus Strong written and oral communication skills Excellent written and spoken German Very good written and spoken English Basic computer skills What we offer: Inspiring
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with an interest and experience in investigating neural and psychophysiological processes of motivation, effort mobilization, and affective experience. Applicants should bring a sound knowledge of
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) Ability to work in a team Desirable qualifications are: Teaching experience / experience of working with e-learning Knowledge of university processes and structures Basic experience in research methods