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Localization and Perception System based on Multi-sensor Fusion Job Description: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms of robot in
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obstacles blocking the view. You will develop a global pointcloud mapping pipeline consisting of a pointcloud filtering approach and a pointcloud matching algorithm. The filtering approach should utilise
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: The development of new algorithms
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through evaluation and problem assessment. Conduct advanced research in computational science, including developing new algorithms, models, or simulations to address complex scientific problems. Enhance and
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation Developing large language model enhanced
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system. Develops and integrates operational ontologies, mathematical algorithms, dynamic and control algorithms, and advanced systems engineering approaches in support of digital engineering and digital
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teaching and learning across undergraduate and postgraduate modules. You will facilitate lectures, workshops and laboratory sessions, support students’ academic development, assess coursework and contribute
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will focus on enhancing efficiency, environmental sustainability, and safety in prefabricated construction. You will be responsible for: Develop simulation models by creating and validating advanced
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Rossier RG at INL. Job Duties The job duties will be the following: Analog quantum algorithms for quantum search and optimisation based on quantum Hamiltonian evolution. Quantum algorithms for simulation
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop