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Field
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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focus on advanced spatial and environmental data analysis. Based at Queen’s University Belfast and working closely with Technological University Dublin, the Research Fellow will contribute to a dynamic
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materials. · Generate quantitative measurements of cell proliferation, survival, differentiation, lineage state, spatial organization, and competitive fitness for use in model development and
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disease progression. · Apply spatially resolved genomic technologies to identify immune-tumor interactions and mechanisms of immune evasion. · Explore epigenetic dependencies arising from
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troubleshooting. · Lead genomic analysis and integration of multi-omics data including microbiome and cell stress phenotypes. · Lead collaboration with spatial transcriptomics and functional genomics
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analysis and integration of multi-omics data including microbiome and cell stress phenotypes. · Lead collaboration with spatial transcriptomics and functional genomics team (external). Assist with
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an evaluation framework for vision-language model (VLM) with applications in the personal care sector. The research focuses on fine-grained VLM capabilities such as spatial reasoning, temporal grounding, event
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, epigenomics, nucleomics, etc.) Multimodal spatial and single-cell data visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization
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Water Systems Location Moscow Posting Context Statement Develops alternative futures and resilience pathways by translating model outputs into spatial and temporal scenarios for a regional testbed
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, aesthetics, and spatial practices — shophouses, Chinese temples, tropical residential typologies, and civic and religious buildings — as coherent material-technical solutions rather than stylistic mash-ups