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tissue, new imaging modalities, small animal maintenance and surgeries, and single cell transcriptomics. They will also gain experience in bioinformatic analysis of sequencing and large-scale imaging
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: https://caolab.wustl.edu/ . Lead data analytics for large-scale genomics and multi-omics projects funded through interdisciplinary team science initiatives such as Cancer Grand Challenges. Develop and
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contact information for three professional references, with letters available upon request. Submit all application materials through Interfolio. Application materials, including letters of recommendation
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the TBIOL curriculum code you consider yourself qualified to teach. Courses can be found at this website: https://www.washington.edu/students/crscatt/ Names and contact information for three professional
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, workshops, and other speaking opportunities o Work with coordinators in running campaigns including training, event planning, public speaking, coordination of small and large group presentations and team
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Description Primary Duties & Responsibilities: Implements: develop agentic and large language models (LLMs) AI and computational models for analyzing omics datasets • Coordinates research projects with other
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and the ability to multitask across a variety of projects in a fast-paced environment • Demonstrated ability to manage, interpret, and process large volumes of complex data within a limited timeframe
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(especially Excel, Outlook, PowerPoint, and Word) • Demonstrated ability to manage, interpret, and process large volumes of complex data within a limited timeframe (e.g., extract relevant data points from
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/ambulatory care operations. The ideal candidate will have excellent communication skills (verbal and written), and be proficient at motivating and leading large groups of people at all levels
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection