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Field
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 21 days ago
downstream tasks such as retrieving aerosol information in the presence of clouds, and utilizing multi-pixel spatial and temporal approaches Field of Science: Earth Science Advisors: Patricia Castellanos
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difference operators, our focus will be on a Fourier-space description of spatially periodic velocity fields, taking direct inspiration from Fourier pseudo-spectral methods used in standard DNS codes
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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 or disease modeling in R and/or
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. A central goal is to integrate spatial imaging data with time-resolved molecular measurements, while incorporating physical and biological constraints directly into the model architectures
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Duties: Attend introductory training sessions organized by the project PI and Co-PI's. Integrate complex large datasets from open sources and SAS Viya, including spatial and temporal environmental
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of spatial transcriptomics and image analysis software for segmentation Experience in working collaboratively as part of a team Downloading a copy of our Job Description Full details of the role and the skills
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. Preferred qualifications ● Fluency in fisheries and/or bioeconomic modeling, with experience in spatial fisheries ecology or management strongly preferred; ● Advanced understanding of the biology and
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
Biotechnology ), we develop agentic AI and “virtual cell” models in the context of the Human Cell Atlas and the European Lab for Learning & Intelligent Systems , powered by large-scale single-cell, spatial, and
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generating and working with large datasets (e.g., tissue RNA sequencing, single cell RNAseq, spatial proteomics or transcriptomics) Technical experience with primary cell culture and cell culture
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models, flow cytometry, confocal microscopy and unbiased approaches such as single cells transcriptomics, spatial transcriptomics and epigenetics to characterize molecular and cellular mechanisms. Using