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individuals who think independently but enjoy working as part of a dynamic, collaborative, and multidisciplinary team. Excellent verbal and written communication skills are essential. Postdoctoral scholars
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website incorporating this data. Extensive computer coding experience. Extensive independent teaching experience and excellent communication skills. Excellent interpersonal skills and the ability to work
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the neural dynamics of fear circuits in response to potential danger and actual attacks by animate entities. The position offers opportunities for close collaboration within a vibrant neuroscience community at
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Position Summary The lab of Surgeon-Scientist Dr. Ruth Tevlin in the Division of Plastic Surgery and Department of Surgery at WashU in St. Louis is seeking a Postdoctoral Fellow to join our dynamic
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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imaging program involving molecular oncologists, cancer biologists, computational biologists, and imaging scientists focused on detecting breast cancer and predicting response to therapy. The position is
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of the mountains, forests, and islands within 45 minutes of campus. The University of Washington (UW) is located in the greater Seattle metropolitan area, with a dynamic, multicultural community of 3.7 million