42 computional-geometry-algorithm Postdoctoral research jobs at Duke University in United States
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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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Duke University, Computer Science Position ID: Duke -CS -PDA_TAN2025 [#30303] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America
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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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) Validate the model by performing simulations using conventional methods like nonlinear FEM, and comparing the results to computational observations. 3) Support the educational activities of the Pl through
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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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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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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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methods like umbrella sampling, force integration, free energy perturbation, or lambda integration to compute the conformational behavior of individual structures and the thermodynamic stability of assembly
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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