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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 7 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09964 Is the Job related to staff position within a Research Infrastructure? No Offer Description This Phd position will be in
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, Edge-Cloud Computing and AIot Deployment Where to apply Website https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/cand_recrutement_en… Requirements Research FieldComputer scienceEducation
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Research Assistant (PhD student
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) - Contrôle classique, théorie du signal (optionnel) Technologie : - Simulation quantique (recommandé) - Cloud Computing (recommandée) - Réseaux (recommandée)The candidate must hold a Master or equivalent
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will collaborate with LUX members at the CNRS-Observatoire de
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research annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring environment
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Do you want to help develop the next generation of safe and intelligent machines? We are now looking for a PhD student in semantic and goal-oriented communications with focus on cloud-assisted
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Tsendbazar (land cover validation), Dr. Johannes Reiche (near-real-time monitoring), and Prof. Dr. Sytze de Bruin (spatial statistics). This PhD programme is also a part of PE&RC, a collaborative research and
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English. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high-performance and cloud computing; (iii