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for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies. Design and
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records at the TRUST platform (https://trustplatform.sg/) . Large-scale proteomics data have also been generated for these individuals. We are inviting a motivated Research Fellow to join our PRECISE-SG100K
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Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
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cloud storage and eGovernment services. Of particular interest will be hybrid schemes and cryptographic agility. There will also be a need to do further theory work, e.g. on QROM and related techniques
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cryptographic design and analysis to support secure, practical implementations for real-world quantum-resistant cryptography. The main application topics will be cryptographic voting, secure cloud storage and
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These efforts aim to enable future ultra-low-latency applications (e.g., cloud gaming, latency-critical workloads) and contribute to next-generation Internet design. Qualifications PhD in Computer Science
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for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies. Design and
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Primary Purpose: Canada is developing three satellite instruments, TICFIRE (Thin Ice Cloud and Far InfraRed Emissions), ALI (Aerosol Limb Imager) and SHOW (Spatial Heterodyne Observations of Water
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. The fellow will be supported to apply for grants to extend work in this field. The position is a 1-year funded role, supported by the UBC AI & Health Network (https://aihealth.med.ubc.ca/). There is potential
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or TensorFlow, and comfortable working with large, complex climate datasets in HPC or cloud environments. Strong quantitative problem-solving and communication skills are also essential. We welcome applications