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process will be established that enables the production of tailor-made, hydrogen-tolerant IN625 components. Your Responsibilities: Plan and conduct a systematic design-of-experiments to optimize Laser
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scenarios and network-centred operation (NCO) information, including positions, threats and airborne warning and control systems (AWACS). Streamlined and effective decision making in complex scenarios
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PhD in Modifying Surfaces of Non-Metallics to Improve their Longevity or Functionality by Atmospheric Plasma Processing The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project
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solutions for industries reliant on powder processing. By harnessing AI to predict and control triboelectrification, we aim to enhance the efficiency and reliability of powder-based manufacturing processes
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are increasingly regarded as being cyber-physical systems, as they are controlled by digital networks and depend upon software and digital communication systems. The reliance on cyber-physical components is growing
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It is a scientist’s dream to be able to control the outcome of a reaction just by changing the initial quantum state of the reactants. In this project, the student will explore if it is possible
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electrical and thermal modelling, parameter/state estimation, diagnostics/prognostics and system control. It is difficult to be unaware of the efforts going into the development of low-carbon alternatives
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algorithms, have excelled in tasks like computer vision, image recognition and large language models (LLM). However, their reliance on extensive computational resources results in excessively high energy
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algorithms, and sensitivity analysis to automate and optimize the mode selection process. The outcome will be a robust, scalable methodology that enhances the performance of ROMs, making them more applicable
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the different parts of the seed would enable tailoring the milling method and further processing to achieve final products with specific nutritional and organoleptic characteristics. This project aims to address