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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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sequencing (scRNA-seq) and proteomics datasets. • Design and execute experiments investigating retinal degeneration mechanisms using cell culture and animal models. • Perform molecular and cell biology
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the molecular mechanisms of bacterial virulence factors and translating these discoveries into macromolecular drug development—specifically focusing on antibodies, vaccines, and innovative medical cosmetics
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for recombinant antigen expression.A key responsibility will be contributing to the development and characterization of transgenic and knockout mouse and hamster models, which are essential for studying viral
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Center is a multi-disciplinary research center with various current translational studies. Our laboratory is interested in understanding the molecular mechanisms of HIV latency and persistent HIV infection
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microscopy to generate new insights into how cells coordinate and repair DNA double-strand breaks? Using baker’s yeast, Saccharomyces cerevisiae , as a model organism, the project is designed to uncover novel
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osteochondral repair. More broadly, we are a translational biomedical research laboratory studying molecular and cellular mechanism of joint biology, rheumatic disease pathobiology, and the repair of synovial
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change. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Postdoctoral-Research-Associate--Translational-Muscle-Biology--Murine-Models-_R138320 Copyright
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biology, marine restoration ecology, and habitat survey techniques. Experience in habitat suitability modelling (e.g. MaxEnt, Random Forests). Experience in molecular ecology and genetic analysis
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mechanisms of various brain disorders using murine models and iPSC-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science