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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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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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researchers at the Optoelectronics Research Centre (ORC), University of Southampton. With over 300 staff and students, the ORC is an internationally recognised hub for cutting-edge research, delivering real
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partners both in the UK and internationally, joining a supportive group of researchers within the wider research group, the School, and across the University of Southampton. To succeed, you will need a PhD
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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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such as SOLID, NSS, Dataswyft/HAT, gtk-gnutella, Gaian DB. You will be working with Professors Thanassis Tiropanis and Adriane Chapman (University of Southampton), Professors Alexandra Poulovassilis and
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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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balance. We also offer a mentorship programme and the school runs a women-oriented network event on a bi-weekly basis. The University of Southampton is in the top 1% of world universities and the top 10
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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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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