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Iventa Austria Personalwerbung GmbH | Graz 12 Bez Andritz, Steiermark | Austria | about 2 months ago
IDea_Lab – The Interdisciplinary Digital Lab of the University of Graz Professor of Machine Learning Methods 2 Application deadline: 16.09.2026 Job Profile: § 98 UG Hours per week: 40 h/W Salary
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Description Scientific Profile The professorship focuseson the methodological foundations and applications of probabilistic machine learning methods in the interdisciplinary context of a comprehensive
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to apply Website https://www.academiceurope.com/ads/junior-researcher-machine-learning-ai/ Requirements Research FieldComputer science » OtherEducation LevelMaster Degree or equivalent Additional Information
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industrial applications. The automation of work machines, such as cranes and forklift trucks, is a strategic research goal within our unit. In the future, these machines will take over repetitive and dangerous
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As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development and technology...
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, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods.
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will be in the area of English Language Teaching and Learning Research / Subject Didactics of English (team of Univ.-Prof. Dr Hüttner). Your responsibilities: You will be actively involved in research
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novel methods and analysis tools for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol
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novel methods and analysis tools for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol
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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