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Data Analytics and Modelling Infrastructure (ÉireOcean-TWIN) For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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resistance. This work will integrate spatial transcriptomics, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA
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. Description: The transition in the Arctic from multi-year ice to first year ice raises the urgency of process understanding and modeling of sea ice formation/melt processes, including the interaction with
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and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed, timely information on where climate stress is emerging, and which
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stress affects specific cell types in the nervous system and the gut, using human pluripotent stem cell (hPSC)-derived models of the enteric nervous system. Our work sits at the intersection of stem cell
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are fulfilled A full-time position (38.5 hours/week); part-time employment may be possible within the framework of certain working time models Access to state-of-the-art single-cell and spatial omics
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conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
the distribution, abundance, diversity, and interactions of marine organisms across spatial and temporal scales, and who examine how these dynamics influence marine ecosystem function, resilience, and global
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sustainable management of European ecosystems. One position center on spatial prioritization for integrated land-use planning; the other on statistical and process-based ecological modeling of species and