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, United States of America [map ] Subject Areas: Computer Science Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Machine Learning Appl Deadline: none (posted 2025/08
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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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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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collaboration with Dr. Suthana and interdisciplinary team members. · Apply advanced statistical and computational approaches to investigate neural dynamics underlying memory consolidation and navigation
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develop novel computational approaches. Develop mathematical descriptions for the acquired data and work with our theorists collaborators to implement new theories. Integrate with the rest of the lab and
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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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conventional methods like nonlinear FEM, and comparing the results to computational observations. 3) Support the educational activities of the Pl through graduate student mentoring, selected lectures, and
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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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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2025 or later. The ideal candidate