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relevant Master's degree (or exceptional Bachelor's) in biomedical/mechanical engineering, materials science, or computer science, with experience in mechanical design/textiles and programming (Python/MATLAB
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, Continuum Mechanics, Computer Science, Materials Science, Physics or a related subject, or relevant industrial experience. English language requirements: Applicants must meet the minimum English language
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for part-time study. The student would be based in the Centre for Smart Grid in the Faculty of Environment, Science and Economy at the Streatham Campus in Exeter. Project Description: With the increasing
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves
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countries and beyond. Training and Career Development As a PhD student, you will join the Faculty of Science Graduate School, which provides a comprehensive programme of professional skills training tailored
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techniques, fabrication processes and methodology - Contribute to scientific talks, conferences, meetings, discussions and other group activities. The project will suit someone wishing to do a PhD in the
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Department: Materials Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Application deadline: 29/04/2025 Research theme: "Materials
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in our CDT program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups. We particularly welcome students with disabilities, neurodiverse
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, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 14 days ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties