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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
Experience with version control systems such as GitHub, cloud- or cluster-based computing, systems management, statistical programming or mechanistic modeling, interactive data visualization (e.g., dashboards
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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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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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diseases. Additional details about the lab can be found at http://ismagilovlab.caltech.edu/ Essential Job Duties Assist graduate students, postdocs, and research staff with bioinformatics/computational
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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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28 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the
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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