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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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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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Description here. About you To succeed in this role, you will have a strong working knowledge of SEND legislation and EHCP processes within a Further Education environment, including the SEND Code of Practice
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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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must at all times carry out your responsibilities with due regard to the UKRI: • Code of Conduct • Equality, Diversity and Inclusion policy • Health and Safety policy • Data Protection policy
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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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licensing, security, health, safety, environment and wellbeing, financial and other University policies, procedures and codes as appropriate. To provide a service to customers during arrivals / departures
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programme of study: Search for the ‘Course Title’ using the programme code: 8060F Research Area: Electrical and Electronic Engineering Select ‘PhD Electrical and Electronic Engineering (full time)’ as the
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data governance Business process modelling, workflow automation, and low-code/no-code platforms Digital product management and agile delivery methodologies The role will involve contributing to our
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study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need