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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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four years in the Norwegian educational system Documented experience in computer networks especially in mobile networks and/or edge-cloud continuum Document knowledge about the system performance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 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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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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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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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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hardware; optimization techniques for high-performance multicore processors; innovative hardware solutions targeting cybersecurity resilience; leveraging AI and cloud technologies in EDA; edge computing and
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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