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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
distributed cloud storage systems and cloud computing services. · Experience in HPC (including heterogeneous architectures). · Strong interpersonal and communication skills and the ability
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FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area President Department 01249 - HCI
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build meaningful partnerships. Working collaboratively within a collegial teaching team, the Lecturer will keep colleagues and students informed of emerging developments in cyber security, cloud computing
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. This senior role will lead the design, implementation, configuration, and ongoing support of Oracle Fusion Cloud ERP, with deep hands-on ownership of BPM/workflows, security architecture, and underlying data
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well as multimodal data (e.g., clinical, behavioral, multi-omics). Guide decisions around computing infrastructure (local HPC, cloud platforms, containerization). Data Management & Quality Control Implement
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, data integrity, data lake/store/warehouse and associated systems, documentation, enterprise cloud services, the customer relationship management system, enterprise policy administration, the enterprise
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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analysis & design, IS management, IS operations, cloud computing, AI-related system functions, enterprise systems, analytics/business intelligence application development, relational and NoSQL database
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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. Pay and Benefits Pay Range: $28.09
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Qualifications Education: Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field required Experience: 4–6+ years of experience building cloud-native data pipelines