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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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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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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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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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, 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
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collaboratively in an interdisciplinary team. Good to have Experience in smart contract development, preferably in Solidity. Familiarity with cloud computing and shell script. Knowledge of biomedical
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using Snakemake, Nextflow, or similar platforms. • HPC or cloud computing environments. • Long-read or single-molecule sequencing, computational epigenomics, and/or 3D genome analysis. • Statistical
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Postdoc in AI for cybersecurity of communication software Linkoping Reference number IDA-2026-00101 We have the power of over 50,000 students and co-workers. Students who provide hope for the future