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of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive contribution to the economy
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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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Digital Innovation & Process Manager
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the safe operation of aircraft in icing conditions, design and develop hydrogen fuel systems and hybrid electric storage and propulsion for next generation aircraft. As a member of our growing team, you will
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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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data-driven modeling. The successful candidate will develop and apply data-driven methods for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data
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for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data-efficient and uncertainty-aware modeling, enhanced sampling, and statistical thermodynamics
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expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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open culture of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive
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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