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for rural and immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in
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countermeasures, and cloud security concepts. Candidates should possess a PhD or equivalent experience, ideally in computer or information science and preferably with a track record in the delivery of study modules
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systems, cloud computing, and information and data management. You will supervise thesis projects and mentor PhD candidates, working with highly motivated, international students who rank among Europe’s top
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Temporary Online Course Developer – RITM 105 Enterprise Cloud Architecture & Scalable Systems Design
pathways. Strong writing and editing skills to produce cohesive, learner-centered experiences. Preferred Experience: Doctorate (PhD or DBA) in Computer Science, Information Systems, Cloud Computing, Systems
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battery data. Develop scalable, secure, and production-grade software systems supporting industrial deployments. Integrate embedded BMS firmware, edge computing devices, and cloud analytics pipelines
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domains (e.g., automotive, human-computer interaction), where efficient on-device processing is essential. We are looking for a highly motivated PhD researcher with an interest in hardware-aware
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. Disseminate research through high-impact publications and conference presentations. Requirements: PhD (or near completion) in Imaging Science, Computational Biology, Bioinformatics, Machine Learning, Data
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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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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learning or multi-agent systems. Experience with cloud-native technologies (Docker, Kubernetes) or distributed computing. Experience with efficient neural architectures, scalable model design, or resource