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subject or subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and
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, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
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circular plastics economy. Working at the interface of engineering biology, enzyme engineering and sustainability, you will focus on discovering, characterising and improving PET-degrading enzymes. You will
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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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relevant subject, such as health sciences, biomedical engineering, or related discipline. A strong interest in implementation science, innovation adoption, or health systems research is essential, alongside
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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a key challenge in sustainable process engineering: translating microbial electrolysis cell (MEC) technology from lab-scale innovation to robust, industrial deployment. The research will sit at
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University: (https://www.ncl.ac.uk/nes/people/profile/samwilson.html ) Yulia Yuzenkova (https://www.ncl.ac.uk/medical-sciences/people/profile/yuliayuzenkova.html ) Eligibility Criteria Due to funding
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PhD Studentships - Process Industries: Net Zero Centre for Doctoral Training - Chemical Engineering for Sustainable Wastewater-to-Resource Systems Award Summary 100% fees (UK Home only), a minimum
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or international equivalent in a subject relevant to the proposed PhD project (e.g. Earth Science, Geology, Geochemistry or equivalent). This studentship is open to those who qualify for Home tuition fees only