19 computer-science-intern "https:" "https:" "https:" "https:" research jobs at University of Luxembourg
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust
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https://www.uni.lu/snt-en/research-groups/trux/ . The successful candidate will: Conduct cutting-edge research in multimodal and multilingual natural language processing Develop and curate multimodal
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, industrial and international partners. SnT is active in several national projects funded by National Research Fund (FNR) and local industries, and international research projects funded by the EU FP7 program
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, industrial and international partners. SnT is active in several national projects funded by National Research Fund (FNR) and local industries, and international research projects funded by the EU FP7 program
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. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/apsia . The candidate will pursue a doctorate in computer science with a focus on the migration to Post-Quantum Cryptography
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interpretability of intelligent systems in safety-critical domains like autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in
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REcherche BEI) program. The successful candidate will join the SVV research group, headed by Prof. Domenico Bianculli. The group focuses on the development and design of reliable, safe, and secure software
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may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . The successful candidate will conduct research on quantum MIMO systems, focusing on the development of theoretical models, communication
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research on the application and the impact of technology on organisations in the private or public sector. Our team consists of international researchers with backgrounds in technology, law, management
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of computer science, artificial intelligence, and biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch