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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/310186 Posting Contact Information Department
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | about 2 months ago
using deep learning approaches. Effectively, in order to prevent cerebrovascular accidents, it is important to study the blood flow at the major bifurcations along the cerebral vascular tree (we mostly
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
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: 279554331 Position: Postdoctoral Research Associate Description: The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu ) is searching for a postdoctoral or more senior researcher
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Episteme, Condensed Matter Theory Group Position ID: Episteme-Condensed Matter Theory Group-POSTDOC [#31188] Position Title: Position Type: Postdoctoral Position Location: Cambridge, Massachusetts
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modelling are essential. Experience with healthcare data, algorithmic fairness, or deep learning for biomedical data will be advantageous. The successful candidate will contribute to high-impact publications
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to mirror the physical system's performance. Union: https://ucnet.universityofcalifornia.edu/resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/ Qualifications
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and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
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and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
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mathematics or a related field strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong