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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 12 hours 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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Dipartimento di Scienze Biomediche Sperimentali e Cliniche "Mario Serio" - Università degli Studi di Firenze | Italy | about 20 hours ago
• Stem cell analysis in cancer • 2D and 2D complex in vitro cell and organoid cultures • Spatial and Liquid biopsy processing and analysis • Cell engineering • Bioinformatics and data analysis Where
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https://www.academictransfer.com/en/jobs/356363/post-doc-integrating-biodiversi… Requirements Specific Requirements You hold a PhD in environmental sciences, ecology, geography, spatial planning, or a
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learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly with
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Description Applications are invited for a full-time postdoctoral position in the laboratory of Dr. Catherine Searle, Department of Biological Sciences, Purdue University: https://www.bio.purdue.edu/lab/searle
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. The ideal candidate will have a solid background in quantitative methods, with particular emphasis on spatial data analysis, landscape ecology, and the integration of telemetry, demographic, and environmental
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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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cutting-edge research project related to the spatial transcriptome study to identify the biomarkers for cancer metastasis. The activities of the appointee will be integrated in a multidisciplinary team
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. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics of patient skin biopsies, and mechanistic
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of retrieval-augmented generation (RAG) for designing embedded systems without the need for retraining Investigation of the use of LLMs to support temporal and spatial resource planning problems Comparison with