30 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Austria
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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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location in Vienna (Giefinggasse, 1210). The Center develops key technologies for the intelligent production and automated industry of tomorrow. By combining artificial intelligence, computer vision
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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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of German Good written and spoken English Basic computer skills Ability to work well in a team What we offer: An inspiring work environment: You’ll be part of a small, dedicated research team with excellent
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well as (auto-)biographical text analysis; experience with the combination of multi-method approaches as well as with cooperation in mixed-methods projects. Sound theoretical knowledge of practical and
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the subject English, or a comparable degree Strong written and oral communication skills Excellent English proficiency, spoken and written IT user skills (computer literacy) Ability to work in a team Desirable
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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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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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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