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Anatomical Imaging & Modeling Principal Professional - 33468 University Staff Description University of Colorado Anschutz Medical Campus Department: Cell & Developmental Biology Job Title: Part-Time
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of parking lots, shrubs, trees, grass, irrigation, weed control, new project, including frequency of task and expectations. · Assist with the management of snow removal plan for the parking lots, parking
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, interdisciplinary environment. Day-to-day, you will be immersed in a variety of exciting projects, such as enhancing and evaluating large language models (LLMs) for diagnostic decision-making, optimizing LLM training
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dynamic, interdisciplinary environment. Day-to-day, you will be immersed in a variety of exciting projects, such as enhancing and evaluating large language models (LLMs) for diagnostic decision-making
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to non-invasively track changes within the islet microvasculature and blood flow during diabetes development in both mouse models and human subjects. The lab is highly collaborative, working with other
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at the University of Colorado. Much of the work involves analysis of correlative samples obtained from patients treated with immunotherapy, as well as modeling similar treatments using murine models of cancer
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Cancer Center, and the CVP Laboratory. Key Responsibilities: Utilize genetic mouse models enabling cell lineage tracing and gene knockout/knockin to define mechanisms underlying pathological vascular
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therapeutics with the cardiovascular system using mouse models, routine in vitro assays, multi-omics, and patient data. The ideal candidate should have prior experience in a wet bench laboratory, performing
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the proper location after use - labels, armbands, medications. General maintenance and upkeep of task trainers and models (IV arms, pelvic models, wound trainers). I nventory supplies utilizing an inventory
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Responsibilities: Research (65%) Investigate literatures to identify existing solutions and the problem Develop and apply state-of-the-art natural language processing algorithms and models to multimodal data