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exploitation of physical parallelism, from the realization of stronger all-optical nonlinearities and scalable synaptic devices to the design of efficient photonic memory architectures to support neuromorphic
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program generation and optimization Verification, testing and security of software systems Explainability of AI and of software engineering Software for distributed, highly-parallel AI systems Intelligent
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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of Architecture and the Built Environment), where you will collaborate closely with a parallel PhD project within the Faculty of Aerospace Engineering focused on meshfree numerical methods. Together, you will work
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are contributing to the High Energy cosmic-Radiation Detection (HERD) experiment, a next-generation detector for the Chinese Space Station. In parallel, we pursue R&D for future gamma-ray missions and play an active
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
to global and national challenges. These priorities closely parallel Dalhousie’s own research priorities and strengths and are reflected in the university’s Strategic Research Clusters . Applications must
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
critical to global and national challenges. These priorities closely parallel Dalhousie’s own research priorities and strengths and are reflected in the university’s Strategic Research Clusters
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) The Institute of Computer Engineering (ZITI) at Heidelberg University invites applications for one research assistant position with the possibility to do a PhD in parallel at the chair of computer architecture
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/IP networks and parallel and serial digital buses. Use of various development tools (e.g., Visual Studio Code, LabView, Matlab). Integration with operating systems such as Linux-Debian, Ubuntu, Arduino
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA