13 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at Emory University
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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical
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genomics, and molecular biology, to systematically investigate RNA biology in cancer initiation, progression, and resistance, leading to the discovery of novel therapeutic strategies for patients
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, using molecular/cell biology, immunology, and animal models. A candidate will work with a collaborative interdisciplinary team and an enthusiastic mentor. Highly motivated individuals holding a Ph.D
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contribute to the excellence of our academic community. The qualified individual will work in a molecular imaging and nanomedicine laboratory on the NIH funded project to prepare surface functionalized
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training and research experience in molecular biology, virology, and immunology. Strong background in multi-parameter flow cytometry, bulk RNA sequencing (RNA-seq), and familiarity with animal models and 3D
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contribute to the excellence of our academic community. A postdoctoral fellow position with Dr. Haian Fu’s research team in the Department of Pharmacology and Chemical Biology sought to join a dynamic team
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the Department of Chemistry at Emory University is recruiting a highly motivated Postdoctoral Fellow to advance new tools for probing and controlling molecular forces in living systems. This position is part of
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trafficking of HIV-1, Influenza Virus, and arenaviruses, as well as on HIV-1 protease activation and maturation. We combine molecular/cell biology/virology approaches with quantitative microscopy techniques
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imaging (Confocal microscopy) Molecular biology A publication record and a strong background in human cell culture, CRISPR or proximity labelling will be preferred. Prior experience in RNA or R-loop biology
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language models (LLMs), generative AI, and cancer informatics. Projects may include training and fine-tuning domain-specific LLMs for clinical document summarization, treatment recommendation reasoning