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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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, potentially including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during
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the foundation for the development of a 'space-based early warning system' of a swarm of micro satellites each to individually tag asteroids that could hit the Earth. The post will provide an excellent opportunity
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persists, even for the most powerful sensors operating in this way. A drastic departure from this sensing architecture is “multistatic” radar – enacted by a coherent network of spatially distributed sensors
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The student will benefit from working alongside a multidisciplinary team of engineers, mathematicians, and physicists at the University of Manchester as well as a wide collaboration network within the UK and
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real-world challenges. We work with an extensive network of industrial partners including BT, DataSparq and Tesco. Engage with our network of charitable partners Students have the opportunity to engage
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labs framework. This studentship will include cohort-based training and activities, enabling students to gain wider skills and develop valuable personal and professional networks. Project Description
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student community and maintain a culture where everyone can work and study together harmoniously with dignity and respect. This is reflected in our University values of ambition, impact, respect and
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remuneration package (including 39 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your
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Job Purpose The successful candidate will contribute to a project focusing on remote RF Sensing and its applications in healthcare involving technologies for both sensing and communications, under