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evaluate numerical methods that combine low and high order formulations, and develop hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating
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droplets physical behaviour and changes as they go through evaporation under different ambient conditions. The numerical results will be validated with experimental data from literature and also from results
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or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover
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through evaporation under different ambient conditions. The numerical results will be validated with experimental data from literature and also from results obtained within the team. Job Responsibilities
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droplets physical behaviour and changes as they go through evaporation under different ambient conditions. The numerical results will be validated with experimental data from literature and also from results
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, and a solid understanding of numerical analysis and familiarity with the use of analytical tools. They should also have knowledge and experience in parallel coding and spectral methods. They must have
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with
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image processing and analysis method development. The position builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis