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PhD studentship in the Probability and Statistics Research Group at the University of Sussex (UK) The Project Fourier analysis and abstract harmonic analysis provide powerful tools in many areas
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library of models covering various physical phenomena (e.g., damped vibrations, wave propagation, thermal diffusion). This harmonized library will serve as a reference framework for this upcoming project
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validating a machine learning prediction model for CP and related outcomes using neonatal MRI, EEG, GMA, HINE, and clinical data. Coordinating patient inclusion, data collection, and analysis across multiple
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, hydrology, environmental analysis, and physical geography. More information on the programme’s science can be found at Luval. Duties The project focuses on the investigation of zonal jets in planetary
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-funded project with 23 partner institutions, that aims to create a robust monitoring network to: support the expansion, improvement and harmonization of existing data, knowledge, and monitoring approaches
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? And how much can we trust the reconstruction? Answering these questions requires pushing the limits of numerical analysis and computation for wave equations and inverse problems. As a PhD candidate, you
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, and explore optimisation strategies for deploying these models in modern data analysis pipelines. You will have the opportunity to join the LIGO Scientific Collaboration as well as the team developing
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clinical data. Coordinating patient inclusion, data collection, and analysis across multiple NICUs in five European countries. Harmonizing protocols across study centers and engaging with families to gather
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Are you eager to research and develop Visual Analytics techniques for Event Sequence exploration and analysis? Are you curious how to combine and explore the synergy between Visualization and
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we see what is hidden? And how much can we trust the reconstruction? Answering these questions requires pushing the limits of numerical analysis and computation for wave equations and inverse problems