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23 Sep 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Architecture Researcher Profile Established Researcher (R3) Application Deadline 16 Nov 2026
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integration of novel computer architectures for advanced edge computing scenarios. The research involves design space exploration and the implementation of digital systems using FPGAs, with potential for future
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discourses informing architecture and planning in Saudi Arabia. The researcher will work with, amongst others, academics, policymakers and cultural institutions, ensuring that the programme is informed by
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, education, and transportation due to diverse systems, formats, and policies. This 24-month post-doctoral project aims to design and implement innovative solutions, such as lakehouse architectures, to enable
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
construction, selection, weighting, and interpretation of relational message passing routes. This is particularly relevant for GraphSAGE-style architectures, which rely on local neighborhood aggregation, and for
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
algorithms on HPC platforms, initially targeting multi-core and multi-CPU architectures and possibly investigating the use of many-core architectures where appropriate. Experimental validation and comparative
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the stratigraphic and thermal evolution of foreland basins. The study area is the Aquitaine Basin, the retro-foreland of the Pyrenean Orogen whose sediment routing systems, stratigraphic architecture, and thermal
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to regulatory genomics, as part of the GRASP project funded by the Independent Research Fund Denmark. In this project, you will leverage new training sets, build novel deep learning architectures and define
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management, or traditional architecture in Afghanistan, Central Asia, or India; Experience with Geographic Information Systems (GIS); Experience working in interdisciplinary research teams; Knowledge
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interpreting results, and benchmarking brain-inspired architectures against conventional machine learning methods. You are also expected to actively participate in academic discussions with supervisors at KTH