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patients, in vivo mechanistic studies (mice), and in vitro human primary cell experiments. Current studies focus on single-cell spatial transcriptomic characterization of the human endothelial response
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modelling in transdisciplinary processes in order to examine ecological and socio-spatial change, existing biodiversity governance regimes and develop multispecies ethnographies to better understand
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. Desirable criteria Understanding of spatial transcriptomics Experience with CyTOF Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be
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participatory mapping, interviews, ecological fieldwork, ethnography, arts-based methods and relation-based simulation modelling in transdisciplinary processes in order to examine ecological and socio-spatial
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for Spatial Biology Description: The Lu Lab at Stanford University is seeking a postdoctoral fellow with deep expertise in advanced AI and generative modeling to develop computational frameworks that transform
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Statistics or Mette Olufsen or Kevin Flores from Mathematics. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or
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The aim of the project is to develop a conceptual framework on solidarity and examine relevant cases to understand how solidarity with migrants is produced spatially, as well as outcomes, practices and
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platforms, Docker). · Experience with GIS/spatial analysis and traffic simulation or microsimulation tools. · Evidence of scholarly productivity (peer-reviewed manuscripts) and experience
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out spatially distributed measurements with for example shallow-depth geo-radar. You will be based at the department of Geoscience & Engineering (GSE) within the faculty of Civil Engineering and
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, computing and sensing. Addressing it however is very complex task. Bridging the full range of spatial scales from microelectronics manufacturing to the operation of an electronic system raises fundamental and