453 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" uni jobs in Austria
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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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. Identification number: KA-NEURR-2026-003669 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-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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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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. 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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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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; 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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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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explicit model of the biophysical effect of land use change, a machine learning emulation of dynamic global vegetation models. Both activities aim to improve understanding and quantification of the effects