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will expand the Rosaceae, Citrus, Vaccinium and Pulse crop databases to meet community demand for resources with usable big data aggregated, analyzed, integrated, and visualized, as well as data
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principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data analysis and handling omics
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Python, for processing and interpreting complex proteomics data Familiarity with proteomics software for data analysis, visualization, and management Experience with biological samples (e.g., FFPE, plasma
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are seeking highly qualified applications to explore visual and LiDAR based navigation methods in the IDEAS lab (https://ouideas.github.io/). The expected responsibilities for this position are to assist with
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
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, proteomic, and metabolomic datasets, metadata, and data from biochemical assays. The candidate will also play a key role in planning and acquiring new datasets through involvement in the design and analysis
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implement methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers
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methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers to lead or
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About us The UCL Institute of Ophthalmology conducts cutting-edge research across four themes: Development, Aging and Disease; Rescue, Repair and Regeneration; Visual Neuroscience and Function; and
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journals Content knowledge in built environments, urban health, and equity analyses an asset Expertise in knowledge mobilization and data visualization an asset Skills Research and analysis Expertise in