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-Cooled Fast Reactors (LFRs) which use liquid lead or lead-bismuth eutectic as coolant. This coolant enables high-temperature operation without pressurization and offers an enhanced neutron economy
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of the additives in phosphate ore processing. Study the interaction mechanisms between additives and mineral surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization
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methodologies tailored to the lab’s hardware/software testbed. Integrate SDRs (e.g., USRPs, RFSoC) and RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal
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of appointment. * Candidate's CV must state qualifications or if pending upon submission. Preferred Qualifications: Ability to work independently Application Process: Please apply online at https
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
with both business and operational stakeholders, optimizing performance, driving innovation, and establishing data governance and standardization to align with business objectives. Architecture: Design
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of historical and real-time data will be processed to improve crop profiles and tailor growth plans. The project includes using advanced algorithms to link various irrigation, nutrient, and telemetry datasets
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Science Objectives: The goal of this activity is to create and validate Big Data analysis methods for digital twins in hydroponics. The system processes massive datasets to refine crop models and individual
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University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because
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into a leading global University shaping the future. https://nusit.nus.edu.sg/ Job Description The Senior Principal Engineer/Associate Architect is responsible for providing technical leadership in
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. Design, implement, and optimize data pipelines that support the university's modernization strategy. Contribute to the design of our future cloud-native data architecture and the selection and