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Field
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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
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are as follows: Estimate the onshore technical and economic potential for CCUS in rural areas in Germany, the Netherlands and Norway. Gather high resolution spatial explicit data on (potential) CO2 sinks
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soil microbial communities. You will be contributing to specifically the area of handling microbial data to assess the spatial distribution of several soil properties and fungal communities using samples