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the Austrian university system), you will work for the ERC project ‘The anthropology of the future: an art world perspective’ (ANTHROFUTURE) led by Prof. Manuela Ciotti (Principal investigator, PI). The project
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in the Austrian university system), you will work for the ERC project ‘The anthropology of the future: an art world perspective’ (ANTHROFUTURE) led by Prof. Manuela Ciotti (Principal investigator, PI
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of Life Sciences at the University of Vienna. In particular, we offer a position for a university assistant (pre doc) in the Group of Univ.-Prof. Dr. Thomas Hummel at the Department of Neuroscience and
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under the supervision of Prof. Katalin Barta (katalin.barta@uni-graz.at ). The research is not only innovative but also holds substantial potential for direct application in industry and future
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at the University of Vienna. In particular, we offer a position for a university assistant (pre doc) in the Group of Univ.-Prof. Dr. Thomas Hummel at the Department of Neuroscience and Developmental Biology. Our
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contact Assoc. Prof. Stephan Denifl by e-mail (Stephan.Denifl@uibk.ac.at ) and submit following documents till latest 28th of February 2026: -Letter of application including a description of your general
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Computer Science• Distributed systems (Cloud, Edge)• Scheduling and optimization algorithms• Data streams, data management and data pipelines• software engineeringExpert programmer• Java• at least one other
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of Vienna. In particular, we offer a position for a university assistant (pre doc) in the Group of Univ.-Prof. Dr. Thomas Hummel at the Department of Neuroscience and Developmental Biology. Our research
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, Edge, IoT)• Scheduling and optimization algorithms• Data streams, data management and data pipelines• software engineeringExpert programmer• Java• at least one other programming languagePractical
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months ago
machine learning models for detecting subtle, clinically relevant changes in arthritis imaging. Create robust algorithms for longitudinal disease monitoring and treatment-response prediction. Build a