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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
19 Mar 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE GIURIDICHE | Italy | 12 days ago
19 Mar 2026 Job Information Organisation/Company ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE GIURIDICHE Research Field Computer science Researcher Profile Recognised
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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unique atmosphere where there is expertise to dig deep into computational modelling, while remaining connected to the experimental side. This interdisciplinary atmosphere has been a main catalyst for many
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) Application Deadline 22 Apr 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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, interdisciplinary environment with access to state-of-the-art Earth system models, high-performance computing facilities, and expertise in ocean modelling, carbon cycle science, and climate interventions. LOCEAN
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-41 https://doi.org/10.1016/j.psep.2020.07.017 🎓 What you will gain • Strong expertise in advanced kinetic modeling • Hands-on experience with calorimetric instrumentation • Exposure to DFT and AI
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technical writing (French and English). Preferred: Experience in fault mechanics or hydromechanical modeling; scientific programming; high-performance computing; mathematical/theoretical analysis of models