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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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% Superannuation Academic Level B: the range $114,824.05 - $136,048.73 + 17% Superannuation Visa sponsorship is not available for this position Based at our St Lucia Campus - Brisbane About This Opportunity We
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studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
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benchmark generative-modeling approaches • Design and implement XAI algorithms • Collaborate with clinicians to validate interpretability outputs Software Development & Prototyping • Contribute to a web-based
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St George’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University
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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
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Location Tait Building Contract type Permanent and Fixed Term Job category Research Hours Full-time Salary min £43,482 Salary max £43,482 Publication date 12-Sep-2025 Closing date 21-Sep-2025 City St
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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algorithms, clinical decision support systems, and population health management platforms. Evaluate emerging technologies in clinical informatics and provide strategic recommendations for their adoption within