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with participants to deliver measures concerning people’s experiences of the diagnostic process, their access to services and their general well-being and life quality. The positions are ideal for people
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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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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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-care For informal enquiries about this job contact Stephen Bradley, Senior Lecturer: on stephen.bradley @sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process
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/physics/biology) or engineering. The ideal candidate should have some understanding in the areas of Materials Science, Chemistry, Physics, Metallurgy, or Mechanical Engineering. The candidate should be self
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enacted through the political process. This project will explore the political frictions which make the Climate Transition so difficult. Subject areas (select up to 10): Economics Start date: 1st Oct 2025
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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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Award (IDLA). This research aims to investigate natural source zone depletion (NSZD) processes that can naturally remedy oil pollution and use this improved process understanding to enhance CoronaScreen