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Field
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students and is rapidly expanding its range of education and research activities. The Centre for Urban Solutions in the School of CEE is to provide leadership in developing innovative solutions and
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) develop geophysical methods for imaging and characterizing subsurface structures. Key Responsibilities: Develop novel 3D modelling algorithms for near-surface characterization using curated geo-data
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machine learning can be used to understand complex behaviours such as reliability, competence, transparency and trust. The position will design and develop innovative reasoning algorithms and knowledge
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to publications in top-tier international conferences and journals, as well as real-world implementations. The role includes designing novel algorithms, building robust software systems, and collaborating with
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions. Utilize PyTorch to train and fine
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localization algorithms, spearhead energy-aware navigation planning systems development, and oversee real world validation of underwater navigation technologies while mentoring junior team members. Key
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optimisation. Develop model predictive control and multi-agent model predictive control algorithms for path planning under dynamic maritime conditions. Develop capacity optimisation algorithms that enable drones
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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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technical elements of computational astrophysics research, which may include but are not limited to: algorithm and software development; application or development of computational or statistical methods