581 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Austria
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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 9 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
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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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-NEPRO-2025-003518 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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-NEONA-2026-003680 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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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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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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preferred Excellent knowledge of microeconometric methods for causal inference; knowledge of machine learning methods is preferred Experience in university teaching Strong communication and teamwork skills
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-ONKO-2026-003665 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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-INFEK-2026-003658 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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). Identification number: LS-ANAT-2026-003655 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