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analyses of spatial and ecological data using R or other similar programming languages Skills Essential: C1 Demonstrated ability to catch, ring and tag passerine birds, as demonstrated by the candidate
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experiments. Particularly scRNA-seq, bulk RNA-seq, epigenomics and spatial transcriptomics. 2. To explore and analyse datasets generated during previous and future projects of the group, in line with
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, motivated Research Assistant to support this work. This will include the use of a variety of transgenic mouse models, state of the art transcriptome technologies (e.g. scRNA-seq and spatial), flow cytometry
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to Study Liver Regeneration and Cancer Supervisors: Xiao Fu and Tom Bird Project summary: Fundamental to liver’s functions, various cell types are organised into spatial zones within the hepatic lobule
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biodiversity change is often constrained by spatially and temporally limited datasets. Moreover, temporal delays in the response of biodiversity to environmental change are often neglected when defining
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and single molecule imaging. RNA biochemistry. RNA Bioinformatics. Fluorescence In Situ Hybridisation and Spatial Biology References: Lee JY, Gala DS, Kiourlappou M, Titlow JS, Teodoro RO & Davis I
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main threads running through HGRG research: Stressed Environments and Communities Spatial Politics and Practices Creative Geohumanities Collectively, HGRG researchers have sought to explore the workings
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philosophy and aesthetics of music, music in popular culture, music and politics and music and modernism. Sonic arts and audiovisual practice, including live electronics, spatial composition and sound design
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benefiting greatly from overlap with strengths in spatial and quantitative ecology. Our modelling is developed in close proximity to data, and focused on estimation of parameters relevant to dynamics and
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the project to have well-distributed data both in space and time. This will ultimately lead to higher quality (more spatially and temporally accurate, complete, precise) 3D models. However due to the complexity