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including spectral flow cytometry, machine learning and irradiation techniques to generate bone marrow chimera models. Utilize mouse models and patient-derived samples to explore how biological immune aging
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pressing questions related to childhood illness. With the collaboration between scientists and physicians, the center aims to increase knowledge of causes and mechanisms of serious pediatric diseases. Our
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privacy, federated learning). Track record of first-author publications in relevant venues and collaborative open-source contributions. Department Contact for Questions Professor Jiang Bian via email at
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learning in context. Our research examines mechanisms of human learning, the conceptual structure of human knowledge, how people communicate expertise, and effective strategies when trying to build new
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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grant development. Collaborate with faculty investigators and national networks to advance best practices in clinical trials in nursing homes. Why Join Us? The Division of General Internal Medicine and
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(kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis. The Herman B Wells Center for Pediatric Research
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through the collaborative development, production, and characterization of AAV vectors for experimental applications. The successful candidate will work as an integral member of a team focused on designing
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exceptional training opportunities in cutting-edge metabolomics (Orbitrap LC-MS), cancer immunology, and translational cancer research in a collaborative, well-funded environment. Research Focus • Metabolic
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spectroscopy, and electron microscopy. Ideally the candidate will have some experience with NMR, ICP-OES/ICP-MS, and time-resolved photoluminescence. The Harvey Lab is a collaborative, multidisciplinary group