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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific
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analysis using Python, MATLAB and/or LabVIEW. Integrate experimental and numerical findings to establish performance benchmarks, identify promising design directions and produce practical design guidelines
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multiple local and international collaborations. She is shortlisting a Research Fellow to provide research support in the analyses of methylome sequencing (whole and targeted) data, with the purpose
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and data analysis tools commonly used in bioinformatics (e.g., shell scripting, Python, R). Solid understanding of omics data, including metagenomics, RNA-seq, and metabolomics. Experience with