42 computational-complexity-"U" Postdoctoral positions at Duke University in United States
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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, Pratt prepares future engineering leaders to address complex challenges with solutions that take into account the complexities and nuances of implementing them. Pratt takes a whole-student approach to
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Duke University, Computer Science Position ID: Duke -CS -PD_BARTESAGHI24 [#28890] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708
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Duke University, Computer Science Position ID: Duke -CS -PDA_RUDIN25 [#30110] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area: Computer
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Duke University, Nicholas School of the Environment - Durham Program ID: Duke -NSOE-Durham -POSTDOC_MEYER [#28186] Program Title: Postdoctoral Associate - Integrated Toxicology & Environmental
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, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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Gastroenterology Research Training Program Postdoctoral Fellowship The Duke Division of Gastroenterology is seeking applicants for a two-year post-doctoral fellowship within the Duke Gastroenterology Research
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with C. elegans is necessary. Skills related to genetic analysis, molecular biology, imaging, and computational analysis are also essential. This position is part of a research team, and there
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the remotely sensed LST to compute the spatial statistics, run the HydroBlocks model over the Contiguous United States, and evaluate model deficiencies and model improvements to improve the modeling of spatial