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models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
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experience. Job Description: Data management, integration, and analysis: Develop and implement data-management procedures for complex environmental and geospatial datasets supporting Everglades restoration
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complementary imaging and molecular methods. Will acquire label-free optical images using laboratory-developed and shared instruments; perform single-cell RNA sequencing, immunohistochemistry imaging, and spatial
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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the analysis of proteomic data, as well as experience in spatial proteomics (laser capture), single cell proteomics and MALDI Imaging. Previous research experience in the genetics of human disease is desirable
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and brings creative thinking to complex spatial and environmental challenges. Responsibilities* GIS Mapping & Spatial Analysis: Utilize GIS software (ArcGIS Pro) to compile, digitize, and analyze
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analysis in a setting with ample expertise and infrastructure. This is a rare opportunity to develop expertise in quantitative pathology in the burgeoning field of spatial cancer biology. Ours is a diverse
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proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular heterogeneity and to integrate spatial molecular information with histopathological and clinical data. We
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, morphometry analysis) Spatial transcriptomics Single-cell sequencing Our ambition is to create a supportive, inclusive, and stimulating research environment where scientific curiosity thrives. We value
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datasets to identify regional spatial patterns and temporal trends in ecological processes and carbonate budgets across South and Southeast Asia. The ideal candidate will have strong research interests in