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supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system
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communications technology that underpins the internet and the digital economy. Person Specification Candidates should have been awarded, or expect to achieve, EITHER: A Bachelors degree in a relevant subject with
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in radiation–matter interactions, computational modelling, and materials science, with a strong publication record (h-index 36, i10-index 69). Dr Francesco Fanicchia, Research Area Lead: Material
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technological advances that support the global transition toward net-zero emissions and sustainable aerospace engineering. Motivation The reliability of electric propulsion systems is pivotal for next-generation
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• An ability to communicate effectively via oral and written media (e.g. technical reports, papers and presentations) • Ability to manage research data and maintain records in a professional matter for
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at voice (607) 255-2242, or email at accommodations@cornell.edu . Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request
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search firms to any employee at SIG via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of SIG, and no fee will be paid in the event the candidate
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firms to any employee at SIG via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of SIG, and no fee will be paid in the event the candidate is
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accurate. SIG is not accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at SIG via-email, the Internet or directly without a valid written search agreement
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accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at SIG via-email, the Internet or directly without a valid written search agreement will be deemed