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team and supported by cutting-edge HPC and GPU infrastructure, you will contribute to internationally leading research, publish in high-impact journals and present your work at major scientific
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HPC and GPU infrastructure, you will contribute to internationally leading research, publish in high-impact journals and present your work at major scientific conferences. About You You will be
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for detection and/or classification of bioacoustic signals. Extensive experience with programming (Matlab, R, Python) including GPU programming is required, and familiarity with edge-based machine
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environment with a wide network of collaborators, generous support for conference travel, and access to national HPC resources (NAISS) and local GPU infrastructure. This Postdoc position is part of the
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Center) centralized HPC services, including both CPU and GPU cutting-edge technologies. Under the direction of the HPC team leadership, maintain, configure, and provide automation support for high
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matière d’efficacité énergétique - par rapport aux solutions actuelles du secteur basées sur des GPU ou des NPU. Plus précisément, il vise la conception de puces dédiées à l’accélération de fonctions
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. Deep expertise in Linux and HPC architecture, including heterogeneous CPU/GPU compute, workload scheduling, high-speed interconnects, parallel or distributed file systems, cluster management, artificial
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/graduate staff. Where to apply Website https://jobs.energy.imdea.org/en/offer/429 Requirements Research Field Other Education Level PhD or equivalent Skills/Qualifications PhD in Artificial Intelligence
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. Experience or training and deploying models on Graphics Processing Unit ( GPU ) hardware. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment
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demonstrate examples of your independence in research. It is also appreciated if you also have some pedagogical experience. Knowledge of and skills in MPI and GPU programming, along with experience