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language. Motivation, flexibility, sense of responsibility, ability to listen and compromise, autonomy, and problem-solving skills. Ability to work with a small cutting edge commercial/academic technology
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mechanical testing is desirable. In addition, applicants should be highly motivated, able to work independently, as well as in a team and have effective communication skills. Applicants must be eligible
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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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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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team, and with NHS and industrial collaborators and organise and facilitate workshops. The candidate and needs to be able to demonstrate a high standard of communication skills. The role will be based
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with a wide network of stakeholders, and explore new avenues for medical applications. For ongoing work and publications on this project, please see our website: www.cnnp-lab.com . This is a 12-months
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community across research disciplines. Community and research culture is important to our PGRs and the FoE support this by working closely with our Postgraduate Research Society (PGES) and our PGR Research
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process. Address blind inverse problems by defining a network to learn distortion functions from data, informing the optimization in the learning process. Refine optimization and learning strategies
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applications received after 5pm or incomplete applications will not be included in the competition. Decision date We expect to communicate the outcome to 2025 entry applicants in May 2025. Unfortunately, we
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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