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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 ICT Services
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About the role: This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct research on cloud computing and future cloud infrastructure, under the direction
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experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer-reviewed publication Strong communication and
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University of California, San Francisco | San Francisco, California | United States | about 2 hours ago
, benefits, etc., are currently subject to negotiation with the appropriate union. To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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observatories both in space and on the ground. IRSA (http://irsa.ipac.caltech.edu) is the steward of scientific data sets, ancillary data products, and documentation delivered by NASA's Infrared and Sub
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28 Feb 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Engineering Researcher Profile First Stage Researcher (R1
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for translating business needs into technical solutions, leading efforts to adopt emerging AI-enabled platforms, and ensuring robust deployment to cloud infrastructure. You'll mentor team members, foster a culture
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:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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. DESIRABLE EXPERIENCE Ecosystem monitoring and vegetation indices. Time-series analysis of environmental or satellite data. Cloud-based geospatial computing and large-scale data synthesis. CONTRACT DETAILS
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines