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Description: This new initiative on Sustainable Automotive Manufacturing by Design has been established to develop new knowledge, technologies, and capabilities in view of a low-emission and
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for the dramatic increase in the number of spacecraft and subsystems that will be produced in the next decade. The purpose of this PhD activity is to develop a model to predict the performance of spacecraft
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encourage continued professional development and you will be encouraged to develop skills in emerging computational approaches. Essential requirements: A relevant master’s degree in Neuroscience
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Development Institute Hours per week: Full Time (1 FTE) Closing date: 07/03/2024 Contract duration: 48 Months School/directorate: School of Environment, Education & Development Just Earth Observation
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image modalities available for a particular artwork. The aim of the project is therefore to develop Machine-Learning (ML)-based registration and resolution enhancement workflow for imaging data from
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the engine dynamic behaviour is particularly complicated due to the millions of components in contact, whose understanding is limited by a lack of experimental friction data. This PhD project aims to develop a
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of the post is to produce research that will contribute to the TALENTS initiative and to produce material for your PhD thesis. You will receive academic support and guidance, but you will be expected to develop