47 phd-in-architecture-and-built-environment Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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Science in the University of Southampton. ActivATOR will develop novel machine learning models that enable robots to leverage the motion of their own bodies (‘egomotion’) to make sense of acoustic environments
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a PhD in engineering or a related area. In particular experience in experimental methods for aerodynamics is essential. Good prior experience in wind tunnel testing is essential with experience in
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create an inclusive work environment. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title
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requirements We are looking for a candidate who meets the following essential criteria: A PhD (or be close to completion*) in Biotechnology, Engineering, Microbiology, or a related field or equivalent experience
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-of-the-art neuromorphic compute architectures. Collaborate with the neuroscience, engineering, and computer science RAs to develop demonstrator applications, and to conduct research, publish, and disseminate
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. To be successful in this role, you will have: A PhD (or nearing completion) in Physics (e.g. atomic physics, quantum optics, or solid-state physics) or closely related fields. Proven expertise in
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-of-the-art neuromorphic compute architectures. Collaborate with the neuroscience, engineering, and computer science RAs to develop demonstrator applications, and to conduct research, publish, and disseminate
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Reality for Learning in Context – Movement and memory go together. How can we leverage movement over and through our environment to build new skills – like 2nd language acquisition - to thrive better
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extraction and data analysis. We invite applications from candidates who have a PhD or equivalent qualifications and experience in a quantitative field, such as Statistics, Medical Statistics, Health Services
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic