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of the F2ForALL project, aiming to fulfill two main objectives: The first objective involves the computational implementation of multiple linear regression models in spatial econometrics and/or survival analysis
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Scheduled Hours 40 Position Summary The Cremins lab works at the spatial biology-technology interface to understand chromatin-to-synapse communication during neural circuit activation in
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Greek and/or Roman archaeology. Preference will be given to candidates whose work demonstrates strong engagement with digital archaeological methods, including (but not limited to) 3D modeling, spatial
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decision making. Within this expansive water research enterprise, the Department of Geography and the Environment provides unique expertise in the spatial and environmental dimensions of water science. The
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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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datasets (transcriptomics, single-cell, proteomics, imaging, etc..), from dataset generation & QC, to the analysis and interpretations of results. Demonstrated expertise critically applying machine learning
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geography and sociology approaches. GET encompasses 7 research teams mobilizing complementary skills in spatial and in situ observation, numerical and analogic modelling, and laboratory experimentation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to prepare leaders and innovators
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scientific writing skills Preferred qualifications: Hands-on experience with single-cell and spatial transcriptomic analysis Familiarity with multi-omic data integration workflows Cancer biology background
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., spatial transcriptomics, single-cell transcriptomics, metagenomics), bioinformatics (including machine learning and artificial intelligence), synthetic biology, organoid technology, CRISPR, molecular