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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and machine learning methods to analyze and predict drug properties
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candidates for a Postdoctoral position. This position is available to individuals with research interests and expertise in modeling and data analyses of hydrologic processes. The College and/or the Civil
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
, reinforcement learning, and computational game theory to address this gap. Fellows will contribute to advancing the next generation of models, algorithms, and system architectures for autonomous systems, multi
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CRISPR tools to correct or model the defective genomic DNA, and further deliver these newly-engineered editors into targeted organs to correct the corresponding phenotypes. The current disease models
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of Alabama is seeking candidates for a Postdoctoral position. This position is available to individuals with research interests and expertise in modeling and data analyses of hydrologic processes. The College
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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author paper published or accepted in peer-reviewed journals. Computational skills, retinal in vivo experience, or omics experience would be advantageous. Expertise in retinal disease modeling especially
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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development and regeneration. Our research combines in vivo genetic models, in vitro organoid systems, advanced imaging, and high-dimensional sequencing approaches to uncover fundamental principles by which