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that combines 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
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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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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 on the interest
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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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. Strong analytic skills such as structural equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS
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structured mentorship, regular feedback, support career growth, including networking opportunities, conference participation, and professional visibility, and offer mentorship in scientific writing, manuscript
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our team as a Postdoctoral Associate in Engineering Education Research. The REDES team works on projects that examine and transform the interconnections, structures, and transition points
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to supporting the Postdoctoral Associate’s career advancement. The PI will provide structured mentorship, regular feedback, support career growth, including networking opportunities, conference participation, and
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physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, quantum information. While this fellowship targets theorists