566 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Austria
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Learning & Development Specialist
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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-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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from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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: 30.00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 30.04.2029 Job ID: 5311 The work group Machine Learning with Graphs of the subunit Data Mining and Machine
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based in the research group “Historical Building Research” (Head G. Styhler-Aydın) of the Department of Historical Archaeology (see https://www.oeaw.ac.at/en/oeai/research/historical-archaeology
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. The subject of the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History ( https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in
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of the oldest and biggest centers for research and education in its field. One "Prae-doc"-position (75 %, University Assistant) is available form March 6th, 2026 for 3 years. Where to apply Website https
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Prior teaching experience Admission Requirements Completed master's or diploma degree in Computer Science or equivalent fields of study with a focus on Data Visualization or Human–Computer Interaction
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duration of the PhD thesis work. For detailed information on the application process, available research topics, and eligibility requirements, please visit our website: https://biotop.boku.ac.at Deadline