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learning with advanced algorithms such as Alphafold3 for molecule processing and foundation models for image processing. Designs and develops machine learning computer models (i.e. algorithms) for medical
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, you will contribute cutting-edge R&D including algorithm design and sensor fusion system designs, while using technologies such as computer vision, lidar, time-of-flight, radar, accelerometers, and
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undergraduate courses related to programming language, operating systems, computer architecture, data structures, and/or algorithms. Participating in service-related activities, such as serving on departmental
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interdisciplinary integration, tackling complex problems in critical areas such as smart manufacturing, cybersecurity, digital twins, agriculture, collective behaviour, and quantum computing. Position Summary
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at the interface of machine learning and computational neuroscience. The candidate will be part of the COATI joint team between INRIA d’Université Côte d’Azur and the I3S Laboratory. Project The candidate should
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leading researchers at NTU and publish in top-tier computer science conferences or journals. Key Responsibilities: Conduct research on vulnerabilities detection in 3GPP specifications via LLM. Develop
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We are looking for a highly motivated Communications professional to join a fast-paced team in a dynamic Department at the University of Oxford. The position is a fixed-term 14 month contract. The Communications Assistant position is a pivotal role within the Department of Education in what is...
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39 Faculty of Computer Science Startdate: 01.09.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2029 Reference no.: 4186
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the European Research Council (ERC). The project aims to tackle central challenges in the fields of online algorithms and learning-augmented algorithms. Goals of the project include the advancement
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), Machine Learning on Quantum Computers, Security of Quantum Circuits, Design Automation and Tools for Quantum Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise