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data dissemination capabilities for making high-resolution earth system model output available to a diverse audience. Candidates must have a PhD in computer science, environmental and physical sciences
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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer
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, 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 addition to MD programs at regional campuses in Duluth and St
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statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops each
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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real-world databases, especially claims and EHR databases. Prior experience with cloud computing. Strong programming skills using at least one of the following programming languages; SAS, R, SQL
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at the University of Oxford. The position is funded by the EPSRC-FNR project “FleXEdge - Data-Driven Cloud-to-Edge Computing for Scalable Near Real-Time Local Flexibility Markets”. It is fixed-term for 36 months
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(awarded) in Computer Science, Computational Linguistics or other closely related areas; • Technical skills in Server/VM management (Linux, cloud services, security); • Proficiency in Mobile app
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applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud) Understanding of BMS architecture and electric mobility systems.