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Field
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devices into complex digital systems. Advanced expertise in machine learning and artificial intelligence for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial
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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk
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manipulation, viral gene therapy, pharmacological studies, gene editing, and physiological measurements of cardiac electrical and mechanical function at a variety of spatial scales from a single cell to whole
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our team. We are looking for postdoc candidates to develop and apply cutting-edge technologies in spatial transcriptomics, single-cell sequencing, machine learning, and functional genomics
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mechanical design Experience with beam shaping techniques (e.g., spatial light modulators, diffractive optical elements) Proficiency in programming languages like LabVIEW, Python, MATLAB, or C++, and
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Postdoctoral Scholar to conduct research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: either spatial analysis using GIS
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, S., A. Chaderjian, and O. A. Saleh (2023). Spatial organization of phase-separated DNA droplets. Physical Review X 13, 031014 Wilken, S., Abraham, G. R., and O. A. Saleh (2024). Condensation and
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of five scientific groups in the CFN, and supports the Electron Microscopy facility, which is the largest CFN scientific facility. The CFN is acquiring two new customized, ultra-high spatial resolution and
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participating in the collaborative development of: (1) spatially explicit baseline data of cropping practices, including identification of representative crop rotations, and (2) spatially explicit baseline
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of developmental biology using mass spectrometry imaging (MALDI-MSI). The candidate will focus on applying the insights of spatial molecular imaging using MALDI-MSI to define the molecular basis for development in