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biomedical engineering). Flexible start date! What You’ll Need A first-class or upper second-class honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD
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classroom settings, while ensuring adherence to ethical, safeguarding, and research governance procedures. Support data management processes, including data cleaning, coding, documentation, quality assurance
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This role is full time, permanent Closing date: 23:59 on 22nd February 2026 Presentation date: 13th March 2026 Interview date - 16th March 2026 By reference to the applicable SOC code for this role
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are essential; prior experience in modelling or coding is desirable but not required. Essential criteria Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject
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equivalent)) Knowledge of simulation platforms like MATLAB Simulink/PLECS. Coding and hardware skills are desirable. Strong analytical/mathematical skills. Passion for research and willingness to learn. Good
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or coding is advantageous but not essential; full training will be provided. Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a
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professionalism in a sensitive and high-profile environment. Desirable Direct experience of REF submission processes, Codes of Practice, or REF-related data and systems. Experience of research planning, performance
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accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo radiative transfer code SIROCCO. The postholder will carry out research involving theoretical and
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, machine listening or immersive media • Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and creative disciplines • Strong
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data and operation of complex data base and information systems in order to code and abstract medical data and routine data entry. Record and code incoming forms etc, checking for inconsistencies