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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 6 hours ago
, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Quantum Computing (QC), Artificial Intelligence (AI) and their applications. For more, see https
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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning or a closely related
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Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and
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on information and digital technologies (computer science, automation, robotics, artificial intelligence). Its aim is to develop methods for the representation, analysis, and control of systems subject to various
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high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
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SPHERE You have a PhD degree in Artificial Intelligence, Computer Science, Applied Mathematics or in a related field You have at least 3 years of postdoctoral research experience or R&D experience in
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reproducible research, collaboration, and knowledge sharing. You should meet the following qualifications: A PhD in Electrical Engineering, Robotics, Computer Science, Artificial Intelligence, or a closely
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research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence for the Generative AI Era (BRIDGE) — exploring
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Geomatics / Global Change Ecology / Urban Science and Sustainability
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD