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Field
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Fellow, you will undertake independent research across quantum complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational
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deployment. Proficiency in Python and PyTorch, with practical experience in model development, experimentation, and evaluation. The ability to conduct independent research, develop novel algorithms, 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
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hybrid RL algorithms built on multi-modal world models (vision, language, proprioception, action) that support long-horizon planning, principled exploration, and sim-to-real transfer; (b) compositional
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implementing optimization algorithms and/or machine learning models for complex systems or real-world applications Experience with large-scale optimization or deep learning systems is highly desirable
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marine geophysical survey and machine learning algorithms. Mainly responsible for processing geophysical/geomechanical data and analysing the data using machine learning. Conducting research
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Mathjobs.org | about 1 month ago
and software technologies for extreme-scale and energy-efficient computing * Developing mathematical modeling for complex scientific problems * Designing algorithms to improve the performance of
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and software technologies for extreme-scale and energy-efficient computing * Developing mathematical modeling for complex scientific problems * Designing algorithms to improve the performance of
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applications to condensed matter physics, materials science, quantum materials, quantum emulators and related fields. The development of the concepts, algorithms and code libraries needed to advance the
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one year and may be extended, subjected to performance and availability of research funding. Key Responsibilities: Develop state-of-the-art and innovative models and algorithms to improve port and