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Spärck AI Graduate Scholarship Named after pioneering British computer scientist Karen Spärck Jones, the Spärck AI Scholarship programme is a government funded initiative which provides full funding
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tools and other resources, check out Career tools and resources *If you are currently a term or continuing employee at NRC, please apply through the SuccessFactors Careers module from your NRC computer.
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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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components including feeds, receivers, digital signal processors, and antennas. These include a Hot/Cold Test Facility, a Reverberation Chamber, an RFI-shielded and ESD-protected digital lab, and areas
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with substantial research experience will be highly advantageous. Experience in computer programming will be essential. Studentships are open to home students only. The deadline to have completed and
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About the scholarship Application status: No application required Applicable study: Parts II-IV of the BE(Hons) in Electrical and Electronic Engineering or Computer Systems Engineering Opening date
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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. This project will focus on developing the quantum control building blocks for implementing low-overhead quantum error correction on trapped ions-based quantum processors. Quantum control techniques can open
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for extended research stays abroad . Qualification requirements Master's degree within Electronics Engineering, Computer Engineering or equivalent related disciplines. The degree must normally include 120