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Field
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reliable public transportation system. This project will give you access to unique field data and expert knowledge, and the opportunity to visit Network Rail and work with colleagues in Colombia. If you're
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to conduct 9 months of field research, often in the absence of running water, electricity, and network connectivity, and roads, and with simple meals. These environments require adaptability, cultural
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access to state-of-the-art facilities and a network of professionals in the field. The expected impact of this research will be the development of valuable insights into how advanced technologies can be
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. Funding This is a self-funded PhD. Find out more about fees. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and
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, including staff, students and industry partners, benefits from a close network of knowledge and opportunity exchange. Situated in Shropshire, the campus and the surrounding area provide an excellent working
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similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
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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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strategies that can improve sustainability and resilience in decentralised manufacturing networks. A unique selling point of this project is the opportunity for collaboration with world-leading experts through
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modelling software. Practical experience in advanced manufacturing techniques for novel materials. Opportunities to present research at international conferences and build a professional network across
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at international conferences and build a professional network across academia and industry. Development of expertise in cutting-edge experimental techniques, computational modelling, and interdisciplinary