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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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WaterWeave project, which focuses on innovative solutions for monitoring and the sustainable management of water resources. The fellow will develop machine learning and cloud computing techniques to estimate
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no
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in bioinformatics/multi-omics data. Excellent written and oral communication skills. Preferred Qualifications: Experience with cloud computing and high-performance clusters (HPC). Experience with
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Systems, Cloud Computing, Operating System * details of the business RIKEN is Japan's largest and most comprehensive research organization for basic and applied science. [Work content and job description
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University of Applied Sciences in Nowy Sacz (Akademia Nauk Stosowanych w Nowym Sączu) | Poland | about 2 months ago
teaching in the field of computer networks, system and network security, cybersecurity of IT systems, and security of cloud systems and services, 4) the ability to work effectively in a team, 5) willingness
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, NY, invites applications for a Postdoctoral Associate in Health Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support
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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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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