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data. ● Prior experience using high-performance computing and/or cloud computing environments for scientific computation. ● Experience building or applying machine learning models. ● Prior experience
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implement cloud-native data pipelines connecting lab instruments, databases, and AI models Support model deployment, inference services, and experiment tracking (e.g., MLflow) Integrate LLM reasoning with
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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 The Department
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of bacterial diversity in clouds and aerosols : https://doi.org/10.1016/j.atmosenv.2023.119635 - Clouds influence the functioning of airborne microorganisms : https://doi.org/10.5194/bg-22-1257-2025
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These efforts aim to enable future ultra-low-latency applications (e.g., cloud gaming, latency-critical workloads) and contribute to next-generation Internet design. Qualifications PhD in Computer
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context of work Presentation of the laboratory/unity : See https://igg.icube.unistra.fr/en/index.php/Main_Page Hierarchical relationship : The postdoc will work within the 4DPlants project, in close
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, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and algorithmic breakthroughs that enable
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Additional Information Benefits full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc
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Additional Information Benefits full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc
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hardware; optimization techniques for high-performance multicore processors; innovative hardware solutions targeting cybersecurity resilience; leveraging AI and cloud technologies in EDA; edge computing and