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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Soft electronics. The post holder will be located in West Cambridge, Cambridgeshire, UK. The role
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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your project supervisor, please send an email to alk23@cam.ac.uk , quoting reference GP46148 on the subject line of your email, and attach a cover letter explaining why you are interested in applying
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to linked data. The overarching goal will be the integration of routinely collected data (e.g. molecular genomic data with clinical data from electronic health records) to address specific research questions
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any questions about this vacancy or the application process, please contact: Kimberly Cole, email: div-f@eng.cam.ac.uk Please quote reference NM46277 on your application and in any correspondence about
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referees, including email address and phone number, one of which must be your most recent line manager. Please quote reference SU46327 on your application and in any correspondence about this vacancy
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project. For more information, please consult the lab website (www.bartlettlab.org ), or contact Madelaine Bartlett via email at mb2705@cam.ac.uk . The Laboratory provides a welcoming and collaborative
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for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please include details of your referees, including email
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titanium alloys. The research will involve: Alloy production via arc melting, hot rolling, and simulated forging trials Microstructural characterisation using electron microscopy (SEM & TEM), X-ray
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email to Dr Nicholas Walton: naw@ast.cam.ac.uk . If you have any queries regarding the application process, please contact: HR@ast.cam.ac.uk . The closing date for applications is: 23:59 BST on 4th May