86 decentralized-control-for-large-scale-systems Postdoctoral positions at Duke University
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/20 05:00 AM) Position Description: Apply Position Description Postdoctoral Associate – Scientific Machine Learning for Multiscale Biological Systems Duke University – Departments of Mathematics and
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datasets on social and ecological conditions in marine systems to examine the relationship between marine conservation governance, context, and outcomes and across local to global scales; - Analyze database
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. The preliminary description of the research project is: Increases in the size, frequency, and severity of wildfires are driving large-scale conversion of forests to shrublands across the western U.S. Despite
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inference and large-scale data sets. - Experience working in interdisciplinary or applied research settings involving policy, planning, or external partners. PROGRAM DETAILS & BENEFITS: This is a full-time
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
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Program The SCALES Postdoctoral Fellows Program is a newly launched cohort-based initiative designed to cultivate the next generation of leaders in climate and sustainability research and education. Fellows
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Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date ● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image
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in Dr. Wenpin Hou’s team to design and deploy new methods on large-scale datasets (e.g., NIH-funded and consortia resources). You will: Key Responsibilities: Lead and co-lead projects in AI
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the Duke Global Health Institute. Both positions have full benefits, and salary will be determined based on current NIH scales. The initial appointment will be for two years, with the expectation
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interacting with a team of researchers from several universities. Knowledge of advanced statistics and experience working with MPlus, SPSS, R, and other statistical packages is required. Experience using large