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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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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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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
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of performance, speed, and precision. Key Responsibilities: Design and implement genAI models for embodied AI systems. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks
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conferences, presenting results to stakeholders and industry experts. Job Requirements: Ph.D. in electrical engineering, computer science, or a related field, with a strong background in AI/ML, wireless
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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state-of-the-art facilities to work on the following: Developing advanced path planning, search, and exploration algorithms for multi-UAVs systems in unknown and complex 3D environments. Designing