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Laboratory (VGL) at The Rockefeller University leads international efforts in vertebrate genome sequencing, annotation, and evolutionary analysis in vertebrate and other eukaryotic genomes. We are a core lab
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agricultural discoveries through scientific excellence. Research Project: Under the guidance of a mentor, the participant will be involved in studying the evolutionary dynamics of influenza A virus (IAV) in
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Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various
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gene gain/loss events, horizontal gene transfer, and functional diversification within gene families. You will apply statistical models and machine learning algorithms to identify associations between
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high-dimensional, dynamic, networked system, applying techniques from machine learning, causal inference, statistics, and algorithms. No prior biomedical training is required—just strong quantitative
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genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts