11 application-programming-android PhD positions at Manchester Metropolitan University in Uk
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of this research programme. The project will be the first of its kind to explore the validity of FIFA-approved skeletal tracking systems for the potential application in on-field gait analysis with the possibility
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to enhance patient engagement and programme design Funding Only Home students can apply. Tuition fees will be covered for the duration of the three-year award, which is £5,006 for the year 2025/26. The student
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across diverse socio-contexts. Applications include healthcare and emotional recognition, addressing critical challenges in human-machine interaction and personalised care. The successful candidate will
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. Specific requirements of the candidate The successful applicant is expected to have: An honours degree at first or upper second-class level in Cyber Security, Artificial Intelligence, Computer Science
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-free method for nitrogen fixation into liquid nitrogen fertilizer for controlled on farm application. This project combines an atmospheric pressure plasma process with a catalyst, aiming to provide a
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applicable). Eligible international students will need to make up the difference in tuition fee funding (Band 3 for the year 2025/26). The student will receive a standard stipend payment for the duration
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, currently £20,780 for the academic year 2025/26. Specific requirements of the candidate Essential: BSc/MSc/MRes in a Natural Science discipline such as Biology, Biotechnology, or Conservation. Applicants from
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or stool sample collection and analysis Experience in gut microbiome analysis and/or bioinformatics How to apply Interested applicants should contact Dr. Adora Yau (a.yau@mmu.ac.uk ) for an informal
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The qualifications, skills, knowledge and experience applicants should have for this project, in addition to our standard entry requirements . Requirements include: A 1st or 2:1 degree in a relevant undergraduate
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of manufacturing variation. Provide recommendations for process optimization and compensation strategies to improve repeatability and accuracy in high-performance applications. Funding Only Home students can apply