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radar control, data acquisition, and visualisation systems. You'll dive into radar signal processing, tackling high-throughput and parallel data challenges using technologies like CUDA and OpenCL. You’ll
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Gaussian Process Regression Generalizes Linear PDE Solvers“, Apr. 2024, Preprint, https://arxiv.org/abs/2212.12474
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components of key US cross-agency data and AI for Science efforts and initiatives. We seek a candidate with specialized knowledge developing scalable and robust computer systems, working with high performance
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 24 days ago
Selection process cv covering letter letter of recommendation (if applicable) transcripts and rankings of Master's years (or equivalent) Website for additional job details https://jobs.inria.fr/public/classic
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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results by 15 January 2026. Founding Source: Project „Dynamics of processes around compact stars” is funded by NCN (contract number: 2023/50/A/ST9/00527). Project website: https://ra.cft.edu.pl/ About us
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on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training and optimizing the execution User support in
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the Country (https://www.fct.pt/financiamento/programas-de-financiamento/bolsas/ ). The payment will be made by bank transfer. Selection procedure: The curriculum of the candidates (60%) will be evaluated
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and will provide support to parallel spin-off and EU projects investigating the synthesis of novel bio-based surfactants. The synthesis of promising candidates will be scaled up to the kilogram scale
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manuals, and code regulations. This class is the first journeyman level position of this series. The HVAC Mechanic class involves full responsibility for the performance of the more advanced HVAC tasks