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Pest Management in The Western U.S.' (https://ai4sa.ucr.edu/ ). The overall goal of this project is to develop advanced tools for early stress (abiotic and biotic) detection and decision support for crop
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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includes primary immune cell isolation and manipulation, high-dimensional flow cytometry, multiplex immune profiling, spatial and single-cell transcriptomics, and functional assays to evaluate immune
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Science Beamline (P61A/WINE), the lmaging Beamline (P05/IBL), and the Nanofocus Endstation of Micro? and Nanofocus X-ray Scattering Beamline (P03/MINAXS), along with supporting laboratories (https
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and cellular analysis of the ischemic brain using spatial and single-cell transcriptomics Profile of the graduate The graduate understands key areas of informatics, such as algorithms and software
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; Proficiency in ROS/ROS2 (Robot Operating System) and middleware for data integration; Knowledge of temporal and spatial synchronization of sensors and extrinsic/intrinsic calibration. Computer Vision and 3D
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(flow cytometry, isolation and analysis of cells from peripheral blood and barrier organs) 4. practical knowledge of bioinformatic techniques (analysis of omic data, such as scRNAseq, spatial scRNAseq) 5
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interdisciplinary innovation. About the role Talented and self-motivated postdoctoral scientist with a keen interest and expertise in various -omics approaches (including spatial transcriptomics) and a passion for
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contribute to projects using cutting-edge molecular, cellular, and spatial profiling approaches to dissect vascular and immune signaling across injury models. Key technologies and methodologies include
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ensuring high quality geospatial data integration. Key Responsibilities: Acquire and harmonize new spatial and aerial datasets for the TreeAI database. Support the development of the TreeAI database by