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of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group Data Mining and Machine Learning at the Faculty of Computer Science
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. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group Data Mining and Machine Learning at the Faculty of Computer Science. The group’s research
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machine learning-based information systems, big data analytics, sociotechnical criteria of AI, and data quality. What to expect Research: You will collaborate on ongoing research topics and projects as
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, DeepFields (using drones, airborne optical sectioning (AOS) -a unique synthetic aperture sensing technique developed by JKU-, and machine learning for harvest and damage estimation in agriculture), in
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., research stays, conference participation) Excellent computer skills, particularly in data analysis and scientific documentation Interdisciplinary thinking and the ability to work effectively in a
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community analyses Experience with machine learning approaches, including the ability to apply relevant statistical models and predictive analytics to biological datasets, is highly advantageous. Hands
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Austrian Academy of Sciences, the Institute for the Cultural and Intellectual History of Asia (IKGA) | Austria | about 16 hours ago
(by the start date) Very good knowledge of Classical Tibetan Very good command of English, both spoken and written Knowledge of German is desirable; willingness to acquire working knowledge of German
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mathematics (diploma or master's degree) German language skills, if not first language: C1 Good computer skills Desired: PhD-theses in mathematics education Desired: Professional experience in teaching
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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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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 29 days ago
, Approximation Theory, Machine Learning, Inverse Problems and Regularization Theory. Proficiency in programming with a strong preference for Python and deep learning frameworks such as PyTorch is highly desirable