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they are inhomogeneous and out-of-equilibrium, and they are well described via hydrodynamics theories. They will be supported by EPSRC under grant UNIHYPE: Universal hydrodynamic principles and emergent physics, EP
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communications Deep knowledge of optimization theory Deep knowledge of Matlab Deep knowledge of CVX Desirable criteria Excellent communication skills Excellent presentation skills We pride ourselves on being
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chains, random graphs and trees, random matrix theory, stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in high dimensions. About the role You will
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particle systems, and mixing times of Markov chains, random graphs and trees, random matrix theory, stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in
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Dr Amir Englund and the wider team to develop novel research questions and theories of interest. This will be highly encouraged. Other relevant activities as directed by the line manager. This is a
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Scikit-learn, PyTorch, Openbabel, and RDKit packages. Experience with density functional theory (DFT) calculations. Experience with version control GitHub repositories, and Unix/Linux supercomputing
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with density functional theory (DFT) calculations. Experience with version control GitHub repositories, and Unix/Linux supercomputing environments. Good communication skills, including the ability
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or clinical domains. Strong knowledge of MRI data formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). Excellent programming skills, demonstrated through available code or projects
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dissertation, and are waiting to have their viva defence)* Research experience with (i) organising and conducting interviews and (ii) qualitative approaches to data analysis and theory building Strong
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science — sharing code, data and reproducible research practices Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job