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(MOCVD). The primary aim is to develop energy-efficient 2D materials that can significantly reduce the power consumption of next-generation electronic devices, supporting the UK’s net zero goals and the
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robotics, mechanical engineering or a similar engineering field. The job requires an in-depth knowledge about soft inflatable/eversion robotics, sensor data acquisition and processing, computer and system
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transcriptomics and proteomics data and will be integrated within a team within our lab working on this large project. The Ciccarelli lab is highly collaborative and interdisciplinary and the ability to work in a
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the utilisation of upcoming facilities such as the Square Kilometre Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research
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collaborative and interdisciplinary and the ability to work in a team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent
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the nature of celestial objects, the evolution of galaxies, and the structure of the Universe itself. We are also actively involved in the utilisation of upcoming facilities such as the Square Kilometre