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with experience analyzing cellular and molecular networks underlying tissue homeostasis and disease, especially using single-cell and spatial omics approaches. Our research is highly interdisciplinary
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health
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910-8507 Fukui 3-9-1 Bunkyo, Fukui-shi Fukui Bunkyo Campus [Number of hired] Number of hired:1 person(s) Starting date:2026-10-01 00:00:00 Where to apply Website https://jrecin.jst.go.jp/seek
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synergy between the conceptual, technological, and societal challenges associated with this field. Spatial transcriptomics approaches provide an unprecedented view of how cells are organized within
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Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational
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, and applied spatial analysis. The introductory coursework facilitates a dual understanding of individual decision-making and market mechanisms through microeconomic theory, alongside an examination
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) knowledge on cutting edge technologies including but not limited to genomics, single-cell spatial multi-omics, proteomics, metabolomics; (iii) track record of independent research and publications on related
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Number AE2026-0029 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0029.pdf CALL FOR GRANT
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C. elegans and its natural parasites. Associated projects entail evolve-and-resequencing, quantitative trait mapping, and field sampling with spatial analyses. The selected candidate will also mentor