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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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mechanisms. The project will combine experimental studies with advanced signal processing and AI techniques (compressed sensing), aiming to detect early signs of failure and enable predictive maintenance
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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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, compressible flow, aerodynamic analysis and optimisation would be an advantage. Broader experience of engineering computational modelling and optimisation methods would also be and advantage. As part of
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-hardware co-design of neural architectures, memory hierarchies, and communication systems Model compression and optimization (pruning, quantization, knowledge distillation) for edge deployment FPGA- and ASIC
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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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. 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