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Field
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. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based
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systems (e.g., H100 / A100 / L40S) and national cloud allocations, and documents empirical hardware and performance findings. Leads and contributes to peer-reviewed, open-access publications (target
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collaboration of Earth and planetary scientists and become an integral member of the Multiscale Cloud Physics Group, led by Franziska Glassmeier at the Max Planck Institute for Meteorology. YOUR PROFILE We are
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
a secure cloud environment to support biomedical research. Specifically, this will include the refinement of clinical research data models, development of ingest and QA/QC pipelines, and support for
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interpret various geospatial datasets and perform fieldwork aboard small and large vessels, as required. Knowledge of programming languages, platforms, software libraries, databases, cloud computing
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for students, staff, and professors on Legal Server, the Legal Clinics’ cloud-based case management system. Trains new law students on Legal Clinics’ standing operating procedures to ease their
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on practical AI systems that connect research prototypes to real-world deployment environments, including cloud, secure enclaves, trusted research environments, and leadership computing platforms
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datasets to uncover microbiome–host interactions Strong statistical skills in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are
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, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
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Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational resources, including cloud-based computing and Stanford high performance clusters. We offer