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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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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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with industrial research partners, develop innovations, and offer students excellent academic teaching in the fields systems theory, automation, and control engineering. More info at https
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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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-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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explicit model of the biophysical effect of land use change, a machine learning emulation of dynamic global vegetation models. Both activities aim to improve understanding and quantification of the effects
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salary of up to € 2.238,25 is possible. Where to apply Website https://www.mdw.ac.at/bewerbungsportal/ Requirements Research FieldArts » OtherEducation LevelMaster Degree or equivalent Skills
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project Associations and Dissociations of Dyslexia and Dyscalculia: Cognitive Mechanisms Underlying the Comorbidity of Learning Disorders Independent planning and evaluation of scientific investigations