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Field
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Applications are invited for a Senior Researcher in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds position. This position, part of EU Horizon
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implementations for compression, heterogeneous quantization, etc - reproduce state of the art network parameters with extreme quantization and compression of parameters - design and implement next-generation
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We are looking for a highly motivated and enthusiastic doctoral student in the field of synthesis, characterisation and/or modelling of next generation materials for hydrogen storage and compression
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We are recruiting highly motivated and enthusiastic doctoral students in the field of synthesis, characterisation and/or modelling of next generation materials for hydrogen storage and compression
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manufacturing. Your work will capture compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change within a GPU-accelerated solver to reduce simulation
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provider how to adjust their compression depth, rate, and release to improve patient outcomes. The student will have the opportunity to work with a range of engineers, doctors, and paramedics and will help
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and interpretability, analogous to RAG (Retrieval-Augmented Generation) in LLMs Investigating methods for improving AI model sustainability, e.g. model compression techniques (such as quantization and
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. This evolution calls for new methodologies capable of effectively representing and compressing data in infinite-dimensional settings. In this project, we aim to address this challenge by developing a theoretical
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About the Project An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been
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the central node. The work includes developing scalable methods for information compression, robust detection of faulty or malicious nodes, and principles for handling uncertain or varying sensor quality