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Job description The project: Earth’s dominant cloud type per area covered is Stratocumulus. These low-level, shallow, horizontally extensive clouds cover one-fifth of the Earth’s surface. Changes in
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metadata (location, climate, soil properties) into the GlobalSoilMacrofauna format. Deposit datasets in open-access cloud/local repositories. Data Analysis– Explore drivers of macrofauna abundance/diversity
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aim of EOSC-ARENA is to develop a sovereign, generative and agentic AI environment for scientific researchers, integrated with the European Open Science Cloud. You investigate the impact of AI
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edge-cloud networks. Additionally, the project will develop novel approaches to implement an adaptive approach to policy and governance management across distributed networks based on operating context
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understanding of data quality, reproducibility and robust analytical practice. Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable. Beyond
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computing, cloud-based computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence
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Resilience and Confidentiality in the Cloud), a EUR 2.5M collaborative project between KTH, Saab, Nvidia, Ericsson, Red Hat, CanaryBit and RISE, building next-generation secure and dependable AI for critical
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 7 hours ago
degree in computer science, information science, or another relevant STEM field. Previous experience with web development, machine learning, databases, and cloud platforms using Python and JavaScript
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version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference ● Excellent written and oral communication skills, with a