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Field
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research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers
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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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exchanges. All courses and lectures are provided in English, and students who complete the program and meet the degree requirements will receive two degrees both from Nanjing University and the University
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Gained: Students will study sustainability in computing, including integrating AI with real-time energy data and carbon monitoring, contributing to low-impact, sustainable cloud operations. Distributed
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sites, or in the cloud. Duties: Analyzes large data sets for genomics, proteomics, metabolomics, and lipidomics projects including exporting data from the producing instruments to the computing cluster
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. identifying and assessing the adoption of cutting-edge technologies (in the areas of Cloud computing, HPC, AI, data analytics, data processing, standard data access interfaces, etc.) tailored to the EO domain
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stakeholders to ensure the PRI systems are flexible to meet emerging needs and differing use cases. Promote the use of advanced technologies, including high performance computing, cloud systems, and machine
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Computer and Data Science A master's degree or PhD [awarded in computing or a closely related discipline will be an advantage] Proven work experience with the development of ML Proficient in integrating
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
cloud-based storage and service tools is helpful Preferred Qualifications: MS or PhD in a relevant field Experience with network neuroscience, graph theory, or connectomics Familiarity with high
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deliverables. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Electrical Engineering, Energy Systems, Applied Physics, or closely related field, and at least 3 years