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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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-certification, and redeployment, as well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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humanised mouse models with the same mutations as patients, all of which are currently available in the laboratory. Minimum qualifications are PhD and/or MD with expertise in molecular and cellular biology
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following skills and experience: Essential criteria PhD qualified in relevant subject area * Knowledge of Raman spectroscopy Hands on experience with fibre optics Commercial/spinout exposure Knowledge
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD degree in Engineering, Computer
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principles that govern the motility, self-organisation and development of living systems. The post-holder will have the opportunity to teach. Applicants should hold (or be close to completing) a PhD in
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minority, people with disabilities and people from LGBTQ+ communities, as they are currently under-represented in the Department of Electrical Engineering and Electronics. If you are still awaiting your PhD
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Leverhulme Research Centre for Functional Materials Design). The post is available on a fixed term basis for up to 3 years from 1 October 2025. If you are still awaiting your PhD to be awarded you will be
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up