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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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the Competence Unit “Electric Vehicle Technology”, we develop future-oriented technologies and system topologies for next-generation electric and hybrid vehicles. Our work focuses on innovative and efficient
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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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Power Electronics ” located in Vienna, you will work in modern research and testing laboratories and focus on the development of innovative power electronic solutions forfuture electric vehicles and
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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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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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professional experience (ideally HTL engineer) or with equivalent qualifications - e.g. state-certified technician (D) or relevant Bachelor's degree (e.g. physics, electrical engineering, mechatronics, aerospace
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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