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studentship for the project “High-Fidelity Simulation of Noise Generation by Turbulent Flows Passing over Flexible Aerofoil Trailing Edge” to discover the secret of silent flight of owls in the research group
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of Chemistry or Materials Science or Physics or related field Kinetic Monte Carlo simulations, quantum simulations, theoretical chemistry Excellent teamwork and communication skills in an interdisciplinary
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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Electrical Engineering, Engineering Physics, Applied Mathematics, Computer Science, Communications or similar. Strong background in mathematical analysis (multivariable calculus, probability, linear systems
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cutting‑edge computational and mathematical techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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related research strands, including: RAM Process Modelling: The development of advanced numerical models for RAM processes, incorporating complex phenomena such as chemically induced viscosity changes
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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competencies: • Embedded Systems •Computer Science • Microelectronics • Cybersecurity • AI Skills • Computer Architecture • ML-based AI • Prototyping and Simulation of Digital Systems LanguagesENGLISHLevelGood