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research, personalized medicine, and computer-assisted pathology. The candidate will lead the efforts related to the development of statistical models for the spatial analysis of transcripts and cells. Where
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Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g
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air quality and emissions measurement instrumentation and systems (e.g., PTR-MS, GC-MS). Strong expertise in advanced statistical, numerical, and spatial data analysis for large-scale datasets is
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sequencing analysis, spatial transcriptome data analysis and genomic analysis for multi-omics studies. A highly competitive salary commensurate with qualifications and experience will be offered. Other
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atmospheric CO₂ and co-emitted species with inventories to improve them. Develop clustering methods to compare data under similar atmospheric conditions. Analyze spatial and satellite data to assess urban
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
) instruments into the GEOS model for its near-real-time aerosol forecast known as the GEOS Forward Processing (GEOS-FP) system as well as in its various reanalysis systems (e.g. Modern-Era Retrospective Analysis
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respond to diverse mechanical cues from their environment, including adhesion, stiffness, tension, shear, pressure, and confinement. These cues are integrated across wide spatial and temporal scales, from
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the Sandelin and Falsig Pedersen laboratories, which are closely located at University of Copenhagen. Our recent work in this area includes: Spatially resolved analysis of microenvironmental gradients in cancer
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located at SciLifeLab in Stockholm. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in
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their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, and the analysis of geocoded data, especially of epigraphic and archaeological origin. MAIN