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, Statistics, Electrical Engineering, Computer Science, or a related field. Key Criteria Demonstrated experience with mathematical modelling, algorithm design, or theoretical analysis of learning systems
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Location: London, Devon House (St Katharines Dock) Term: 2 years, fixed term, full-time Reports to: Professor Osvaldo Simeone Benefits: The university supports staff maintaining a good work-life
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maintaining supplies and reagents, isolating cells, preparing NGS libraries, performing standard QC, and preparing libraries for sequencing. Implement algorithms and computational tools for omics-based data
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this, the Fellow will implement a universal design methodology for such fluids of complex rheology, using a Machine Learning (ML) algorithm to be incorporated in a Computational Fluid Dynamics framework. Training