19 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Johannes Kepler University in Austria
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Where to apply Website http://www.jku.at/career Requirements Research FieldPolitical sciencesEducation LevelPhD or equivalent Additional Information Work Location(s) Number of offers available1Company
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to apply Website http://www.jku.at/career Requirements Research FieldPhysicsEducation LevelPhD or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteJohannes
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17 Dec 2025 Job Information Organisation/Company Johannes Kepler University Department Institute for Machine Learning Research Field Computer science Researcher Profile Recognised Researcher (R2
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knowledge of digital image processing, are helpful Basic knowledge fpr application of artificial intelligence and machine learning methods Creativity and ability to work independently in a scientific
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research results in international scientific journals and present at international conferences Teach courses in applied statistics and statistical demography (in English) for 2 semester hours per week per
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comparable qualification) in a relevant discipline (computer science, mathematics, AI) Expertise in one or multiple of the following areas: Deep Learning, Computer Vision, Signal Processing (Synthetic Aperture
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Hagenberg (50%). Job Duties: Independent research in symbolic artificial intelligence, computer algebra, computational logic, or automated reasoning with connection to machine learning Participation in
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-orientated research activities at CRI CM (Link: https://www.jku.at/en/clinical-research-institute-for-cardiovascular-an… ) Supervision of translational cooperation projects at CRI CM Establishment and
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)« along with your application. The form is available at: https://www.jku.at/fileadmin/gruppen/40/Studienerfolg-NEU.pdf ; The Johannes Kepler University wishes to increase the proportion of academic
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and Auditing Entry date: as soon as possible Job Reference Number: 25000-2025-001453 Job Duties: Actively take part in the department's research projects Teach university-level classes (in German