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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour 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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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
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and spatial transcriptomics and epigenomics. More details: https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ Candidate profiles We are seeking highly motivated
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on a unique cohort of 1,750 human liver samples and 400 blood samples and integrates high-resolution genomic approaches (ultra-deep WES, ddPCR, single-cell RNA-seq, spatial transcriptomics). Main
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the advantages of the ADS are linked to its subcriticality, this must be ensured under all conditions (normal, incident, or accident). The SPATIAL project aims to develop a reliable method for measuring reactivity
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an emphasis on ecosystem dynamics, behaviour, spatial modelling and evaluation of ecological aspects of management measures. The candidate may start as soon as possible or after agreement. The position is
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to urban water systems. • Develop models, and predictive tools for hydrological analysis and urban water management. • Design analytical approaches to improve water resources management and urban
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cormorants with an emphasis on ecosystem dynamics, behaviour, spatial modelling and evaluation of ecological aspects of management measures. The candidate may start as soon as possible or after agreement
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background in immunology (innate and/or adaptive immunity). Experience with tissue analysis and image processing. Experience with preclinical animal models. Experience with single-cell or spatial omics