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Field
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of Molecular and Spatial Biology of Skin headed by Thierry Nordmann MD-PhD, is providing a Postdoctoral Position (m/f/d). Project overview Inflammatory skin diseases affect a quarter of the population, yet our
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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consists mainly of research within a large collaborative project focusing on biodiversity, interactions and dynamics in coastal ecosystems. The project seeks to investigate drivers of spatial and temporal
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properties in drylands worldwide and analyzing their spatial distribution. The research will utilize innovative remote sensing techniques, advanced modeling frameworks, and cutting-edge datasets to enhance our
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techniques including single cell RNA sequencing and spatial transcriptomics. The individual will have the opportunity to work on their professional development and specific skills needed for their professional
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and techniques include 3 or more years of research experience in reconstructing paleoclimates extracted from ice cores, experience in assessing changes in spatial extent and surface elevation
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, a spatially-explicit agent-based model of land use change in Great Britain. This will be coupled with a system dynamics model of macro-scale drivers of land system change. Working with colleagues from
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Postdoctoral researcher position. Mechanobiology in bioengineered neurodevelopment. Laboratory of...
of regulation of morphogenesis, while using state-of-the art bioengineering technologies and spatial transcriptomics. The research fits within the scope of a large, multidisciplinary research projects funded by
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Pacific Institute for the Mathematical Sciences | Northern British Columbia Fort Nelson, British Columbia | Canada | 16 days ago
in the following areas but are not limited to: Structure-preserving spatial and/or temporal discretizations for differential equations Structure-preserving machine learning methods Applications
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such as comparing spatial locations across time, highlighting changes in various dataset components, and integrating ancillary information layers within a fully three-dimensional (3D-in-3D) workspace