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Field
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networks and/or edge-cloud continuum Document knowledge about the system performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics
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records in hydrology, AI/ML, or water resources engineering. Preferred Qualifications Experience with: LLMs, graph neural networks, transformers, or physics-informed neural networks (PINNs). Cloud computing
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. Familiarity with cloud computing environments and high-performance computing workflows. Preferred Qualifications Education: No additional education unless stated elsewhere in the job posting. Certifications
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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
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with cloud computing Willingness to learn new languages and tools as the field grows SUPERVISORY RESPONSIBILITIES: This position will involve co-mentoring of students joining the group as described above
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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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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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three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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12 Jan 2026 Job Information Organisation/Company Holomicrobiome Institute Research Field Computer science » Database management Computer science » Systems design Engineering » Computer engineering
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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