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implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
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and other material processing techniques, focusing on the integration of organic and inorganic materials. You will carry out in-depth structural and performance characterization, including permeability
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accomplishments and future research interests. Contact information for three references. For queries relating to your application or the application process, please contact Professor Matthew Gaunt via email on
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our recruitment process and have published Candidate Guidance for you to access information and support on application and interview process. We offer a range of benefits, visit Your Benefits website
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radiation biology, cell signalling, or immunology, as well as first-author publications in peer-reviewed journals. Application Process You will be required to upload a supporting statement (outlining how you
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format on shortlisting. If you consent to take part in the study the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting academic
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gases, including the operation of magneto-optical traps, the production of quantum degenerate gases and optical trapping using optical tweezers/lattices. They will be expected to display initiative and
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about the application process, please contact the School's HR Team on mmllpersonnel@admin.cam.ac.uk . The closing date for applications is midnight (BST) on Sunday 15 June 2025. Interviews are planned
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inland, short-sea, and high-seas shipping routes. The project seeks to deliver industry-relevant tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations
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about the application process, please contact the School's HR Team on mmllpersonnel@admin.cam.ac.uk . The closing date for applications is midnight (BST) on Sunday 15 June 2025. Interviews are planned