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Field
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sensing. Familiarity with High-Performance Computing (HPC) and/or Cloud computing (openEO) Why Join Us? Work on high-stakes climate research projects with global impact. Access to state-of-the-art EO data
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(meteorological, hydrological, hydraulic, traffic, LiDAR, and DEM/BLE datasets). Build reproducible pipelines in Python/R/Julia/SQL for big data geospatial applications. Utilize cloud and HPC resources for model
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deployment (e.g., Docker) and cloud/serverless architectures (AWS SAM, Lambda, Amplify); experience with React or web and mobile application development; familiarity with GitHub; excellent project management
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of peer-reviewed publications in bioinformatics/multi-omics data. • Excellent written and oral communication skills. Preferred Qualifications: • Experience with cloud computing and high-performance clusters
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project TAILOR – Network of Research Excellence Centres for Foundations of Trustworthy AI (2020-2024) , and EU project HiPEAC – Network of Excellence on High Performance, Edge And Cloud computing (2015-now
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tools, and deploy these methods on a cloud-based platform. The work will bridge fundamental electrochemical reactivity with practical electrolyte and materials design, directly contributing to improved
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networks, control system architectures, edge devices, and edge‑to‑cloud integration to enhance system protection and reliability. Perform resilience analyses addressing the impacts of variable generation
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system science by offering a unique global perspective on clouds, precipitation, and the dynamics of the atmosphere. The launch of the joint ESA/JAXA Earth Cloud, Aerosol and Radiation Explorer (EarthCARE
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, multi-object tracking, time-series prediction, anomaly detection). · Proficiency in programming (Python required; R/Julia or others a plus) and experience with data engineering tools (SQL, cloud
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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable