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use this formalisation to encode our STV algorithm on encrypted ballots. This approach aims to ensure both the correctness and privacy of the tallying process, paving the way for verifiable and secure
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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considered to be self-funded students for the purposes of admission. Applicants should have (or expect to obtain by the start date) at least a first class degree in an Physics, Mathematics, Electrical
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Arrangements: This is an in-person role based in Durham, requiring physical presence on campus and regular travel to partner schools in the region to support intervention delivery. The part-time hours (10 per
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(or equivalent) in: Engineering (Mechanical, Materials, or related disciplines) Physics, Chemistry, or Applied Mathematics About the Leonardo Centre:www.sheffield.ac.uk/leonardocentre The Leonardo Centre at the
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honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will
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modelling tools to understand and tailor the physical and chemical interactions at the interfaces within metascintillators. Cranfield University’s Centre for Materials is internationally recognised
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engagement skills, your interest in the research topic, and future career plans. Full guidance on the application process is available here. Early applications are encouraged. The post is preferred
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with mechanical testing of the alloys in hydrogen rich environments will be used. The ReNU+ CDT has hosted a number of online pre-application workshops to provide guidance on the application process