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Field
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research areas: (1) Environmental Social Science, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for area one, which focuses
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cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from statistical models. Within the Polarity
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at larger spatial units. You will work with established field experiments and full-scale facilities already established by farmers in various locations throughout Denmark and the boreal region of Europe. You
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at larger spatial units. You will work with established field experiments and full-scale facilities already established by farmers in various locations throughout Denmark and the boreal region of Europe. You
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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cancer progression, immune evasion, and therapeutic resistance. We place a strong emphasis on the use of spatial biological approaches applied to human tumour models including organ/tumour perfusion, slice
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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-based modeling, and multi-omics analytics, including bulk, single-cell, and spatial transcriptomics, to uncover molecular mechanisms in cancer, immunology, and more. With a strong translational focus, the