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areas: Early Animal Evolution: Investigating genome and cell-type evolution via comparative genomics and phylogenomics. Deep-Sea Adaptations: Studying genomic and cellular adaptations associated with deep
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appointment is for one year, renewable for a second year pending satisfactory performance and availability of funding. Research topics of interest include numerical methods for scientific machine learning and
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candidates will have strong past experience in scientific machine learning. Experiences in large language models, molecular modeling and simulations, and/or polymer science are preferred but not required
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of Applied/Computational Mathematics. Research topics of interest include numerical methods for scientific machine learning and AI, and their applications to various science and engineering disciplines