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missions such as search-and-rescue or large-scale surveillance—where environments are unknown, dynamic, and unstructured—robotic swarms must adapt, select appropriate actions, and respond to changing
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have focused on developing latency reversing agents as a first step to eradicate the latent reservoir and animal models are being studied to understand these dynamics. This project proposes a novel
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January 2026 Details Quantum error correction by combating noise in quantum systems, is an enabler of various quantum technologies. For the purpose of near term application, there are several competitive
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hydrodynamics for novel marine vehicles, including large ships and small AUVs and offshore renewable energy systems including offshore wind. You are expected to perform advanced computational fluid dynamics
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for fine-tuning and deployment of large-scale models. What’s more, multimodal models are particularly vulnerable to data uncertainty, modality dropout, and noise propagation, which can degrade robustness and
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Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students, EU Students, International Students Award value: Home fees and tax-free stipend - See advert for details Project
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season properties (e.g. number, intensity) for lead times ranging from one to approximately six months in the latest generation of dynamical seasonal and decadal forecast models. Seasonal forecasts
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, curriculum over geometry/BCs, calibration of predictive uncertainty, and robustness to sensor noise. Tasks: forward prediction (temperature fields), inverse reconstruction (defect size, depth, orientation
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-offer/doctor-of-philosophy-phd . Share on social media We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation
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uncertainty, modality dropout, and noise propagation, which can degrade robustness and erode trust in model outcomes. This project aims to create a unified framework for building lightweight, data-efficient