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Field
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-surface interactions, analysis of spatial energy distributions, and determination of impacts of pulse characteristics on accuracy and surface quality. Expected outcomes include reliable ablation datasets
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field-sites provide us insights on how soil microbial composition and diversity responds to a shift of vegetation types, climate, and land cover. In this PhD project, you will investigate how vegetation
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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theory, quantitative analysis, spatial approaches, and reproducible workflows. Current research areas include: Spatial community ecology and landscape ecology Trait-based and functional ecology Ecological
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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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California State University, San Bernardino | San Bernardino, California | United States | 8 days ago
., spatial analysis, social network analysis, intelligence analysis, forecasting) are especially encouraged to apply. TYPICAL ACTIVITIES Teach courses primarily in person and possibly online at the San
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interdisciplinary research project at the intersection of spatial computing, AI, and surgical education. This one-year position will focus on the research on next-generation educational technologies for self-paced
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calling, annotation Perform rare-variant and association analyses across patient cohorts Integrate genomic data with single-cell, spatial, and other omic datasets Develop and maintain reproducible analysis
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. The CARE-AFRICA project is developing and evaluating an AI-based tool to guide clinical decision-making, based on analysis of patient data entered by a clinician and automated retrieval of regional and