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structural errors, reducing manual effort from weeks to minutes thus that allowing to scale up to thousands of species per year; To build Genera , a multimodal AI system that integrates genomic and ecological
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leading the way in the fields of condensed matter, biological physics, and optics. Together with a dynamic group of graduate students and researchers, we are evolving new methods and deepening our
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seek a candidate with strong capabilities in hurricane modeling and risk assessment, and demonstrated experience in one or several of the following areas: Tropical cyclone dynamics and thermodynamics
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modeling and risk assessment, and demonstrated experience in one or several of the following areas: Tropical cyclone dynamics and thermodynamics Statistical and/or machine learning approaches to weather
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. Together with a dynamic group of graduate students and researchers, we are evolving new methods and deepening our fundamental understanding of the world. Debanjan Chowdhury’s research involves programmable
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modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes
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approaches to characterize microbial community structure and function, working with graduate students, manuscript preparation and the potential to follow up on observations in research models depending
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health and well-being, cognitive aging and dementia, loneliness and social isolation, and integrative data analysis. Strong analytic skills such as structural equation modeling, multilevel modeling
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researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber-Human-Physical Systems, it tackles issues like
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interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches to characterize microbial community structure and function, working with graduate students