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comprising computational biologists, bioengineers, and immunologists. The candidate will have access to advanced platforms for single-cell and spatial omics, 3D tissue modeling, bioreactors, and in vivo models
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innovation (Track B). Note: Digital and commercial innovation should include emerging technologies (e.g., artificial intelligence, spatial computing). “Responsible innovation” is to be defined by the candidate
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technologies to assess the multicellular environment within three-dimensional microtumor models. The project focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural
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completion of project deliverables including but not limited to; the preparation of mapping documents, data formatting, and performing advanced GIS analysis. Using GIS tools, geometry types and spatial
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professional support in areas of moderate to advanced complexity, including spatial analysis, modeling, and geospatial systems research, to help evaluate business objectives, define user requirements, and
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cancers resist current therapies and to develop new models that take advantage of high-throughput technologies that include spatial profiling and genetic/compound screens. There is ample opportunity
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larger spatial scales using different data sets. The postdoctoral fellow will be responsible for analyzing the data sets; developing, interpreting, and applying the two statistical models; and submitting
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Professor who wants to contribute to advance science, teaching and practice at the interface of Biodiversity, Land Use and Spatial Planning. By planning and governance of land use it is possible to halt
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of multi-scale urban energy infrastructures. The PhD will explore how these models can represent spatial and temporal dependencies in systems, such as building energy demand, district heating and cooling
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in person in São Paulo and involves single-cell and spatial transcriptomics analysis, integration of multi-disease datasets, investigation of cell–cell communication, and the development