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/ statistical analyses in one or more of the following programming environments: R, Python, bash, MATLAB, JAVA, etc. 4. Experience using computing clusters (batch processing), cloud computing services, and
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/statistical analyses in one or more of the following programming environments: R, Python, bash, MATLAB, JAVA, etc. 4. Experience using computing clusters (batch processing), cloud computing services, and
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principles and research data management. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific
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priority access to cloud computing , a local high‑performance computing facility housed in a state‑of‑the‑art data center, a genomics laboratory for developing new omics technologies and assays, a wet
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Observatory and the Pacific Northwest Seismic Network. The person in this position will have access to many resources including: Access to petascale computing and cloud-based infrastructure. A state-of-the-art
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similar field, with a good fundamental knowledge of at least one of the following areas software engineering, cloud computing, edge computing, or Cyber Physical Systems. English language requirement
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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
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position combines MLOps engineering, research software development and technical coordination across cloud, High-Performance Computing (HPC) and federated research environments. A key focus will be the
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data sources. Experience with reproducible research, version control, or high-performance/cloud computing. COMPENSATION AND BENEFITS The hiring range for this position is $61,500 to $64,000. An offer
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, data and computing environments needed to analyse and control the power system of the future? The Division of Electric Power and Energy Systems is looking for a postdoc in digital modelling and AI