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- THE ROLE - The role of the Principal Systems Development Officer (Systems) in the University's Software Development Department involves the expert design, development, and management of robust
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Distributed, robust and adaptive model predictive control (MPC) School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline: Applications
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or promising individuals in academia or research in fields such as science, engineering, medicine, social sciences, or humanities. See the Home Office guidance: https://www.gov.uk/global-talent Further details
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to lead the end-to-end transformation of our testing strategy, processes, and tooling for Clinical Trial Database systems and API integrations. This role will drive improvements in efficiency, robustness
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salary and start-up package and is expected to establish a highly recognized, robust externally funded, and independent research program. Application instructions: To apply, please submit (i) a cover
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whose clinical focus is coverage of both office and surgical treatment of male infertility and mens healthurologic cases. The candidate would join a robust multidisciplinary team of physicians including
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are looking to expand our current team of nine full-time urologists. The successful candidate will join a mature and robust practice with a primary clinical focus on the office and surgical treatment of urinary
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for real-world applications By leveraging advancements in quantum technologies, the QUBIC project will build a robust innovation pipeline to deliver transformative solutions. These technologies have the
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 1 hour ago
upper atmosphere water vapor product: including, for example, studies that improve and assess the data accuracy, precision, and robustness. Application of dataset improvements to answer relevant