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comparative analyses of regional (Western Eurasian) faunal evolution — with particular emphasis on hominin primates — within well-defined temporal and spatial frameworks. As a doctoral researcher, your main
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paleoecology of Old World Cenozoic mammals. Experience in statistical analysis, programming, spatial modeling, and database management Knowledge of mammalian skeletal and osteological morphology. Strong
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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join our dynamic research team. Our work focuses on craniofacial regeneration and distraction osteogenesis, using cutting-edge multi-omic approaches (single-cell and spatial transcriptomics, genetic and
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patterns, taking into account their spatial and temporal dimensions, as well as the analysis of community structure and composition. The fellow will also be responsible for collecting environmental parameter
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mechanisms underlying human memory, spatial navigation, and cognition. The Staff Scientist will collect intracranial brain recordings from neurosurgical patients, analyze neural signals for oscillatory
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spleen. Isolation of graft-specific T cells from rejecting and tolerant mice. Multicolor spectral flow cytometry of rare cell populations. Co-detection by indexing spatial imaging of secondary lymphoid
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
domain, Big Data cloud computing for spatial statistical pattern and trend analysis, data visualization/communication techniques, data uncertainty and error propagation, or integration of GeoAI with mobile
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domain, Big Data cloud computing for spatial statistical pattern and trend analysis, data visualization/communication techniques, data uncertainty and error propagation, or integration of GeoAI with mobile
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, fixed-term position focused on the development and application of synthetic control methods to problems in spatial causality within agricultural and environmental economics. The successful candidate will