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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid
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Sponsorship Queries: This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time and appointed at Grade 7.4. Please consult our Skilled Worker
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) as well as Master’s level training in quantitative research methods (or demonstrable comparable skills). You will have the ability to conduct reproducible (using code) analyses using R or Stata
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experts; (iv) sharing of code with users/testers to ensure rigorous validation/testing and assessment of TRL, including mapping progress towards: (a) Software as a Service, (b) commercial product
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high degree of proficiency • Ability to code at the level of implementing complex proof-of-concept compilers and interpreter prototypes • Familiarity with mainstream proof assistant is not required
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modelling, particularly finite-element based multiphysics and electromagnetic packages and techniques, and bespoke code for component simulations. Experience of relevant lab techniques – optical testing
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experience in the development of first-principle wave models. Recent research experience in the development of numerical codes for complex electromagnetic scattering scenarios, and the use of full-wave
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Have or be close to the completion of a PhD in cognitive neuroscience, neuroimaging, experimental psychology, computer science or a closely related discipline. Experience in the design, coding and
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interviews Work with research nurses in participating sites to recruit patients to the study Play a key role in coding and analysing research data, including secondary analysis of data Contribute to public
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Equality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct