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Field
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project partners. In parallel, support will be provided for the implementation and operationalization of the financial, economic, structural and risk performance indicators developed within the NEXUS
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Postdoc position to support international research and capacity-building projects employing elect...
assignments The successful candidate will contribute to the acquisition, processing, inversion, and interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will involve both
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algorithms. Testing with actual robotic platforms is handled by Demcon. Innovative simulation data is used for both training and testing. The project is in parallel with our dedication to teaching perception
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Reference Number ERC-2018-COG Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 Predoctoral Researcher position in the line of research: "Computer architecture and
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
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processes that enable cells to move through a biological matrix in the absence of adhesion, by exploiting the topography of their environment. The consortium brings together two teams of physicists
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terms of electrical performance and manufacturing complexity (number of manufacturing processes and dispersion tolerance). The best architectures will be designed (mask layout), in close collaboration
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to analyzing data Knowledge of high-performance computing, such as parallelization, the use of C++, or interfacing with specialized linear algebra packages Other Information: Work arrangement: On-site Candidates
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20231097F Position Title
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within a multi-disciplinary research environment consisting of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing