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given the opportunity to join the NIHR Academy and access further training and networking activities. The employing organisation is the University of Southampton, which offers a competitive salary
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transmitted by 50%, which will contribute to the creation of Microsoft Azure’s next generation ultrafast datacentres and optical networks. The project aims to address research as well as practical aspects
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calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
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Engineering at Southampton you will benefit from the extensive network of collaborations with members of the group. There will be an opportunity to guide PhD and Master students. Funding is available initially
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of composite structures using state-of-the-art software and methodologies. Implement manufacturing techniques for producing high-performance composites. Collaborate with a diverse team of researchers, engineers
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member of the Energy Technology Group within Mechanical Engineering at Southampton you will benefit from the extensive network of collaborations with members of the group. There will be an opportunity
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. You will hold a PhD or equivalent professional qualifications and experience in aeronautical or mechanical or software engineering, physics, or in computer science/numerical analysis. About the
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expertise spanning mooring lines, floating platforms and anchors, with both academic and industry perspectives. You will have many opportunities to expand your network, both in academia and industry, through
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of symmetries and equivariance and their implementation in deep neural networks, mathematical criteria stability and robustness of neural networks, applications of topology and geometry to deep
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meaningful contributions to the field. Responsibilities: Conduct advanced computational analyses of composite structures using state-of-the-art software and methodologies. Implement manufacturing techniques