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Field
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Are you passionate about applying quantum computing to addressing real-world challenges? Join us to develop quantum optimization methods that support the transition to sustainable and resilient
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Are you an innovative researcher with a strong background in CFD, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions
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requirements: A PhD degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline. Solid knowledge of fluid mechanics, computational fluid dynamics (CFD), and optimization using
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Process Optimization team, you will develop strategies to maximise the value of the platform for our departments and user groups. You will be responsible for designing and executing the full adoption
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applying quantum computing to addressing real-world challenges? Join us to develop quantum optimization methods that support the transition to sustainable and resilient electrical power systems! Information
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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The PhD position is part the prestigious POLARIS (Pathway towards Opportunities for Large scale Applications of Radically Integrated Systems) project. Polaris is a large flagship program (funded by
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The PhD position is part the prestigious POLARIS (Pathway towards Opportunities for Large scale Applications of Radically Integrated Systems) project. Polaris is a large flagship program (funded by
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26 Sep 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Computer hardware Computer science » Digital systems Researcher Profile First Stage Researcher
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Excited to shape the future of hearing aids? Ready to combine your expertise in Signal Processing, Optimization and Machine learning with Perception and Intelligibility? Job description Good hearing