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with knowledge and interest in structural dynamics, finite element analysis, programming and numerical methods. Applicants are expected to have achieved or be about to achieve a First-class honours MEng
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Trustworthy AI For Industrial Applications on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form. Candidate requirements
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Step 1: Submit your application to the QBS PhD programme via the QUB portal and enter the code QBSPGR2025/26 in the funding section: 🔗 myportal.qub.ac.uk Step 2: Email the following documents to Louise
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includes projects in biomedical instrumentation, experimental hardware automation and programming, and computational science. Scientific publications in a relevant area are considered a significant benefit
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via joint activities with EU and UK cybersecurity hubs, preparing you for careers in trusted electronics, AI security, and national critical infrastructure protection. Graduates from this programme will
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systems, and engage in joint projects with green electronics laboratories across Europe and Asia. The programme supports attendance at major conferences like ISLPED, ICCAD, and PATMOS, and includes
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thriving PhD programme and a long-established reputation for research activity of the highest quality, enhancing both the PhD student experience and the demand for our PhD graduates. This interdisciplinary
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latitudes. Student profile: The project requires the student to be relatively proficient in Python programming to use and modify existing software, as well as for potentially developing new diagnostics and
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programme name, select ‘Electronic, Electrical & Systems Engineering’ and quote the advertised reference number ‘MA-2023-02584N’ in your application. Please submit a Curriculum Vitae (CV) and the minimum
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research centre and will be collaborating with researchers as part of a programme of research concerned with designing and evaluating technologies to reduce the carbon footprint of the health and care system