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De Lorenzis, Chair of the Computational Mechanics Group at ETH Zurich. This project aims to advance our understanding of shear fracture propagation in complex geological systems using next-generation
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. This position is ideal for candidates excited about computational science, HPC, and building powerful tools to simulate complex geological processes. Key Responsibilities: Implement efficient and scalable
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on developing safe interactive navigation and manipulation capabilities for mobile robots operating in complex, dynamic environments. The research fellow is expected to contribute to the following key aspects: a
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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for coordinating the delivery of our education programmes, managing cross-functional workstreams that enable effective research and education programme execution across the Centre, and contributing
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. - Proficiency with Python and data analysis frameworks. - Familiarity with large, complex datasets and modern computational techniques. - Good written and oral scientific communication skills. • Experience
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experiments and electromagnetic field sensing. Strong publication record and ability to manage complex experimental systems. Proven ability to work effectively both independently and in collaborative teams. We
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of next-generation AI agent architecture in complex and dynamic environments. Collaborate with academic and industry partners, including potential joint projects with institutions to drive interdisciplinary
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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on complex system subject to various constraints. Design and develop real-time algorithms. Simulate and evaluate system performance. Document research outcome to publish at international conference / journal