51 model-driven-engineering-"Data-driven-Materials-Modeling" Postdoctoral positions at Duke University
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proteostasis, cytoskeletal dynamics, and ferroptotic cell death. This collaborative work combines biochemistry, chemical biology, cell signaling, live-cell imaging, and organotypic brain slice models to dissect
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alongside dedicated faculty and staff who are passionate about developing the next generation of leaders. What Makes Duke Special Collaborative and mission-driven culture Commitment to professional growth and
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in AI for genomics (e.g., generative models, transformers, genomic language models, agentic AI) and related areas of statistics (e.g., uncertainty quantification for machine learning and AI). Apply
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seek a highly motivated individual with a background in neuroscience who can leverage techniques including advanced genomics, microphysiological cell culture system, and animal models. The team is highly
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cancer, or related field Preferred Qualifications: Experience working with mammalian cell culture and animal models of cancer (xenografts and GEMMs) Familiarity with next-generation sequencing platforms
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the non-human primate (NHP) model by exploring innovative mRNA constructs for immunogen delivery that can elicit both protective and therapeutic B and T cell responses. Recently, Dr. Williams was also
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the mechanisms of, and interventions for, immuno-senescence and aging in lung transplantation using high-throughput multi-‘omic approaches, primary cell culture systems, and animal models of transplantation. Ph.D
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the postdoc will also work closely with Drs. Rick Hoyle and Christopher Bail, as well as other HARP Principal Investigators in the Pratt School of Engineering involved in the first stage of research studies
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biology, immunology, or other relevant areas of biomedical sciences. Experience in one or more of the following areas is desirable: 1) In vivo mouse models (willingness to work with animal models is a must
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/time management skills, and interest in interdisciplinary collaboration. • Experience in the use of large language models for analyzing text and/or advanced skills involved in analyzing complex