14 computional-geometry-algorithm Fellowship research jobs at The University of Southampton
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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the US National Science Foundation. The overall aim of this project is to determine the geometry and plumbing of the hydrothermal system of an active submarine arc volcano and its relationship with
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We are seeking a highly motivated post-doctoral researcher of high calibre to join our research program in the area of integrated silicon photonics. The position is funded by the EPSRC (Engineering
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The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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the laboratory of Professors Ward and Ober. Their interdisciplinary research program is dedicated to the development of novel antibody-based therapeutics that has led to several therapeutics that are currently in
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Are you passionate about sustainable aerospace innovations? Join our team to help shape the future of circularity in electric aircraft manufacturing, working directly with industry leaders. About the Project: Our project, directly funded by industry, explores the immense potential of circularity...
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(or be close to completing one) with strong quantitative and computational skills in high-performance computing environments. Your expertise should be in one or more of the following areas: hydrological