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Field
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platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations
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statistical analysis (data visualization, descriptive analyses, time series analyses, latent modelling, multilevel modelling). Data Cleaning and Management. Engages both independently and under supervision in
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quantitative analysis. This position is responsible for developing and conducting experiments, analysing neurophysiological data and contributing to the design and delivery of visual stimuli using programming
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of the retinal cells. The candidate will be expected to: conduct human imaging in healthy and diseased eyes, perform data processing, analysis and presentation, upgrade AO imagers, fabricate AO model eyes, and
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or equally, microbiologists with a solid background in computational analysis of omics data. Projects will apply computational, statistical and bioinformatics approaches to integrate multi-omics’ datasets