456 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" PhD positions in United Kingdom
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techniques to combine data from multiple sources, integrating both visual and textual information to deepen our understanding of patient health. This studentship offers a unique opportunity to contribute
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magnification and error accumulation by closing the feedback loop of conventional 3DP systems. The candidate will test the developed technologies across multiple application scenarios, including large-scale
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learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
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diffusion models usually needs to access a pre-trained model multiple times sequentially to generate high-quality images or videos, which is time-consuming. The training process of diffusion models is also
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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. Consider a self-adaptive IoT network such as a smart home that autonomously manages energy consumption while balancing multiple, often conflicting requirements, such as comfort, cost efficiency, and
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across multiple seasons? Funding The student will receive a stipend payment; the Research Council minimum rate (set by UKRI) is £20,780 for 2025/26. Only Home students can apply. Home fees are covered
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neuroimaging techniques. You will conduct both neuroimaging and neural network modelling studies to determine whether and how combining information across multiple sensory modalities (vision and touch) may