453 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs in Austria
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. Identification number: KA-ALLGC-2026-003686 All applicants are invited to submit their application online via the recruiting platform. For further job related details see link below: https://www.medunigraz.at
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. Identification number: KA-ENDO-2026-003663 All applicants are invited to submit their application online via the recruiting platform. For further job related details see link below: https://www.medunigraz.at
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the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
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11 Mar 2026 Job Information Organisation/Company Johannes Kepler University Department Institut for Machine Learning Research Field Computer science Researcher Profile Recognised Researcher (R2
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at: https://www.akbild.ac.at/en/research/center-for-doctoral-studies/supervisors-of-doctoral-and-phd-projects/supervisors-of-doctoral-and-phd-projects?set_language=en Job description completion
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learning) with a focus on business skills training, and in teaching at companies; further training in business and communication an advantage. Strong communication skills and ability to work in a team
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blended learning) with a focus on business skills training, and in teaching at companies; further training in business and communication an advantage. Strong communication skills and ability to work in a
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are looking forward to receiving your online application. The full, legally binding call for application (in German) including the salary can be found here: https://lfuonline.uibk.ac.at/public
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; qualification/training in teaching communicative competences in a business context; experience in academic teaching (including distance and blended learning) with a focus on business skills training, and in
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period of 6 years. Your area of responsibility: Active participation in the institute’s research projects; please see our current research areas here: https://www.wu.ac.at/en/iib/iib/teams/team-fisch