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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity
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through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing
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world-class training programme combining research-led innovation with real-world industry application. Students will receive high-level entrepreneurial training provided by Haydn Green Institute, bespoke
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Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code:8209F
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at the leading international conferences in the field. The ideal candidate should have an enthusiasm for experimentation, an aptitude for building and programming measurement and testing setups and natural
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, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
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April 2026 (5pm GMT) Outcomes notified: Mid-May 2026 Applicants must apply both for the studentship and for the CMCI PhD programme at King’s College London, quoting the funding code 2627AHCDA. Funding
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. Candidates should have programming experience and a strong interest in artificial intelligence, robotic systems, and optics. A passion for applying technological solutions to real-world challenges is essential
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degree in robotics, mechanical engineering, electrical and electronic engineering, computer science, or a related field. Candidates should have programming experience and a strong interest in artificial
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, programming, signal analysis or machine learning are particularly valuable. If you are keen to apply technology to improve global healthcare, we would be delighted to hear from you. Entry requirements