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degree (or overseas equivalent) in a relevant science subject (Materials Science, Chemistry, Physics, Engineering) or Archaeology where candidates have strong evidence of skills in experimental analysis
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programming skills (Python, MATLAB), excellent communication and ability to integrate numerical modelling, sensor technologies, and occupant-focused design. Experience in thermodynamics, building physics
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) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
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: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship
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hands-on and applied, with modules such as: Applied Nanoscience, an introductory module covering core topics in Nanoscience research, experimental skills and data analysis through lab practicals; Systems
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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metabolomic and lipidomic analysis. References/further reading Stockis J, Yip T, Raghunathan S, Garcia C, Lee S, Simpson C, Pinaud S, Schuijs MJ, Araos Henríquez J, Png S, Raddi G, Bricard O, So TY, Mack S