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: Simulating spatially inhomogeneous biochemical reaction-diffusion systems for modeling cell-environment feedbacks. Gigascience. 2022 Jun 17;11:giac051. https://doi.org/10.1093/gigascience/giac051 4. Guo G
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on the impactful Net-Zero America (NZA) study (https://netzeroamerica.princeton.edu/the-report ) that developed uniquely-granular spatial, temporal, sectoral, technological, and socio-economic analyses to vividly
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MRC DiMeN Doctoral Training Partnership: Deconvoluting the spatial multi-omic landscape of high-grade glioma to target post-surgical residual disease MRC DiMeN Doctoral Training Partnership PhD
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computer science, mathematics, and biology, focusing on processing, analyzing, and modeling biological data and processes at the molecular and cellular level. They involve developing analytical methods and software
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to experimentally test predicted models would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR2357-PATACH-008/Default.aspx Work Location(s) Number of offers available1Company
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. Developing relevant modelling tools to support comprehensive analyses of livestock systems. Assessing environmental impacts of current livestock production systems and evaluating potential outcomes from
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for the Anthropocene. Global Ecol Biogeogr 27, 760–786. https://doi.org/10.1111/geb.12729 Hughes, S., Kunin, W., Ziv, G., & Watts, K. (2023). Spatial targeting of woodland creation can reduce the colonisation credit
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and patient survival outcomes [2-4]. This PhD project will seek to investigate the prognostic value of spatial immunophenotypes in lung cancer combining high-plex imaging, spatial data analysis, and
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biomolecular chemistry techniques. Evaluation of biological behavior in cell models through cell culture, flow cytometry, and biocompatibility assays within the framework of the ERC-STG SPACING (SPAtially
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models of species’ range dynamics. For more information please see https://bdc.univie.ac.at/ . We are currently offering a post-doc position (temporary replacement, until 30/06/2028). The successful