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with computational analysis of spatial transcriptomics or other high-dimensional datasets and strong data management skills are highly desirable. We are seeking an independent and collaborative scientist
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analysis of single cell RNA-sequencing and spatial transcriptomic datasets. Mentor undergraduates, research technicians, and rotating graduate students. Collaborate with researchers inside and outside
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 19 hours ago
measurements. The participant will research and develop robust metrology methodologies to characterize mirror surface quality across multiple spatial frequency ranges using techniques such as Fizeau
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disease. Apply and optimize advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation
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, spatial and hydrologic modeling, statistical analysis, high-impact technical publishing, and collaborative proposal development. In support of NRRI’s mission to deliver applied science and sustainable
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, or computational analysis of clinically annotated cancer datasets. Experience with multi-omics data integration, including DNA sequencing, bulk and single-cell RNA sequencing, spatial transcriptomics, methylation
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(Midavaine et al., Science, 2025). Building on this foundation, the lab combines mouse genetics, single-cell and spatial transcriptomics, in vivo calcium imaging, sensory behavioral assays, and molecular
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, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows Quantitative modeling and statistical inference. Applicants
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
properties from human samples; and spatial transcriptomics/proteomics and morphological analysis of human lung tissue. Education and Experience: Preferred qualifications include: An understanding of pulmonary
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, or equivalent) conferred by the start date. 2. Proficiency in R/Python. 3. Experience with spatial proteomic/transcriptomic data analysis. 4. Growth mindset and motivation to advance our understanding of breast