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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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-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
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The interplay of TCS with Harmonic analysis and additive combinatorics There will be opportunities for collaboration with faculty members and PhD students and to engage with the broader quantum computing and