22 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"CESBIO" Fellowship positions at The University of Southampton
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
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This is an exciting time to join the University of Southampton, a global top-100 university with a reputation for delivering world-class education and research that addresses some of society’s most
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data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation protocols for plant
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The University of Southampton is a world-leading institution for aircraft noise research, home to the Rolls-Royce University Technology Centre in Gas Turbine Noise at the Institute of Sound and
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The University of Southampton is an exceptional place to work; its people achieve remarkable things. We are a world-leading research-intensive university, with a strong educational offering
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, with the possibility of extension. Early applications are strongly encouraged, as shortlisting and interviews may take place before the closing date. The ISVR is recognised as one of the world’s leading
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The University of Southampton is inviting applications for a postdoctoral position in gravitational-wave astronomy. The successful candidate will join Greg Ashton’s STFC-funded programme, Advancing
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accountabilities / duties You will: Develop models describing acoustic emission generation and reception/sensitivity in plants, aligned with experimental observations. Build image-informed model geometries and
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We are seeking a highly motivated and talented post-doctoral researcher to join our research programme in metasurfaces. The position is funded by the three-year Leverhulme Trust Research Project
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced