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standards Basic understanding of Machine Learning and AI concepts, such as NLP, LLMs, and vector databases Ability to work in a team, flexibility and commitment Very good knowledge of written and spoken in
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data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods.
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research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of Operations Research and Machine Learning. We expect you to complete your
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, statistical software, biostatistical software) Understanding of bioacoustic principles Desirable knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic
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participate in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of Operations Research and Machine Learning. We expect you to complete
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machine learning concepts and semantic/graph technologies (e.g., Neo4j, RDF/SPARQL) or digital twin systems Experience with frameworks like Angular or React is advantageous Familiarity with Git and Docker
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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their
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approaches in Human-Computer Interaction and Contextual User Experience. The Center for Technology Experience is acting in a variety of challenging application contexts. We are passionate about addressing the
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on your dissertation and its completion and on possible other publications (articles, contributions). You will supervise students. You will independently teach courses within the scope of the collective
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on your dissertation and its completion and on possible other publications (articles, contributions). You will supervise students. You will independently teach courses within the scope of the collective