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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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, or a closely related discipline with a strong academic record Genuine interest in data-driven and physics-based modeling, molecular simulations, and their application to bioprocesses and bioseparations
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link: https://www.ncbi.nlm.nih.gov/myncbi/nathan.lawson.1/bibliography/public/ Send related inquiries to: Nathan D. Lawson, Ph.D. Professor Department of Molecular, Cell, and Cancer Biology University
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investigate HIV-induced vascular dysfunction and neuroAIDS molecular mechanisms using in vitro and in vivo (animal models) approaches. Specifically, the person will utilize HIV mouse models and HIV-1 infected
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
optimize the growth of GaAs nanowires integrating crystal-phase heterostructures by molecular beam epitaxy (MBE). Contribute to scientific writing, presentation of results, and promotion of the project's
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, molecular biology, biochemistry, immunology, or related field, with a strong focus on murine myopathy models. Demonstrated experience in in vivo experimentation, including animal handling, dosing, tissue
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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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understanding of electrolyte performance from molecular to device-relevant length scales. The main task for the doctoral candidate will be to develop and apply computational models to quantify and predict key
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. * Examine mechanisms of organ cross-talk between the heart, vasculature, and brain. * Utilize in vitro and in vivo models, including inflammatory and aging-related models. * Perform molecular
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approaches to study the molecular changes that occur in susceptible and resistant genotypes of crop and model plant species. The plant and pathogen genes identified in these studies are providing insight