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Field
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, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods.
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of the Master's thesis, as well as List of publications and presentations, if applicable). High scientific qualification in numerical methods and scientific computing. Didactic skills and qualification as
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excellent research combining statistical analysis, computational social science, formal modelling, and data-driven methods. Areas of particular interest include the quantitative study of geopolitical and
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scientific qualification in numerical methods and scientific computing. Didactic skills and qualification as well as experience in e-learning. Excellent programming skills and their applications in Python
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geography. The department also has been recognized for its contributions to geoinformatics and cartography. This interdisciplinary basis in computational, social, and natural sciences provides a dynamic and
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, dyslexia, brain anatomy and experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical
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have a strong empirical research profile with experience in quantitative and qualitative analysis. We expect deep knowledge in one method, but experience with mixed methods and computational social
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Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer
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18 Sep 2026 Job Information Organisation/Company University of Innsbruck Department Faculty of Mathematics, Computer Science and Physics Research Field Computer science Researcher Profile First
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matter, and you are willing to deepen your expertise in the mathematical and numerical methods relevant for the dissertation project. • You are able to read and work with advanced research literature