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qualifications and experience. APPLICATION We look forward to receiving your application. Please apply online at https://www.kl.ac.at/en/university/career-kl , quoting reference number “2605”, by 31th March 2026
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number: DFI-PATHOL-2025-003560 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/offene
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-ALGAI-2026-003611 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/offene-stellen
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-ORTHO-2026-003619 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/offene-stellen
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and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses
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number: DFI-PATHOL-2025-003559 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/offene
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corresponding research agenda. Candidates are expected to hold an excellent qualification in empirically oriented research, with a particular focus on teaching and learning contexts relevant to schooling and
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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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skills, including proficiency in statistics, scientific programming, and/or modelling. We especially welcome candidates interested in applying AI and machine learning to analyse heritage datasets
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statistics, scientific programming, and/or modelling. We especially welcome candidates interested in applying AI and machine learning to analyse heritage datasets. What we offer: • A stimulating