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in Northumbria University for this EPSRC-funded project. The primary objective of this project is to harness the unique capabilities of synthetic biology and microbial biotechnology to exert genetic
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as structural members when deployed make a good basis for a deployable structure. The two main aims of this project are to develop novel designs and manufacturing methods for foldable composite
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) a first class or upper second class honours degree (or international equivalent) in a related subject area. Ideally hold a master's-level qualification at merit or distinction (or international
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performed annually in the UK. However, about 20% require revision within 15 years due to complications like implant loosening, dislocation, and fractures caused by suboptimal implant positioning. With primary
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of recruitment. This is measured from the date they obtained the degree that formally entitles them to pursue a doctorate. Mobility Rule: Candidates must not have resided or conducted their main activity (work
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About the Project Main description: Fiber-polymer composites are innovative ad sustainable alternative in construction due to their lightweight, excellent fatigue and durability, which are widely
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for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science
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LevelBachelor Degree or equivalent LanguagesENGLISHLevelExcellent Additional Information Eligibility criteria Mobility rule - Applicants cannot have resided or carried out his/her main activity - work, studies
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer