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Field
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transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial
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on the impactful Net-Zero America (NZA) study (https://netzeroamerica.princeton.edu/the-report ) that developed uniquely-granular spatial, temporal, sectoral, technological, and socio-economic analyses to vividly
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agricultural datasets proficiency in R and/or Python for analysing spatial data, particularly in the context of remote sensing, ensuring robust data processing and interpretation strong ability to communicate
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contribute to projects using cutting-edge molecular, cellular, and spatial profiling approaches to dissect vascular and immune signaling across injury models. Key technologies and methodologies include
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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar with the Center for Spatial Studies and Data Science in the Geography Department (JPF02931) Postdoctoral Scholar with
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version control systems. Excellent analytical, writing, and communication skills in English. Desirable Experience developing and evaluating models for time series, tempo-spatial, and/or probabilistic
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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the tissue response around the materials will be followed by multimodal approaches including (among others) time-lapsed in vivo imaging, multiphoton intravital microscopy, spatial transcriptomics and
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maps of the distributions of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial for understanding fundamental biological mechanisms, but it
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an interest in T cell development and single cell & spatial omics to join the team. We are a dynamic and international lab with a focus on the functional characterization of the molecular mechanisms