455 computer-programmer-"Multiple"-"O.P"-"U"-"U.S" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
the air conditions in underground stations. The proposed research will be carried out with the use of Computational Fluid Dynamics (CFD) to simulate the underground station environment with the possibility
-
and ask questions. We plan to let candidates know if they have progressed to the selection stage on the week commencing 7 July 2025. If you need any support, equipment or adjustments to enable you to
-
organise resources, and plan and progress work activities (assessed at: application/Interview). ● Willingness to tackle unfamiliar tasks and develop new skills (assessed at: application/Interview
-
(assessed at: application/interview) Ability to work under own initiative to agreed protocols and deadlines, and to plan and progress work activities (assessed at: application/interview) Ability to develop
-
process will take place on 15th July 2025. This will consist ofan interview and IT exercise. We plan to let candidates know if they have progressed to the selection stage, on 9th July 2025. If you need any
-
to define project workflows, project scopes and timelines and ensuring alignment with stakeholder expectations. ● Providing support to a range of programmes for the Yorkshire & Humber Secure Data
-
be found here . Main duties and responsibilities Education Design, develop and deliver teaching modules across a range of undergraduate and postgraduate programmes, including coordinating team teaching
-
Education Design, develop and deliver teaching modules across a range of undergraduate and postgraduate programmes, including coordinating team teaching to ensure high quality delivery; preparing teaching
-
is anticipated that the selection process will take place on 15 July 2025. This will consist of an online interview. We plan to let candidates know if they have progressed to the selection stage
-
workflows, but also by helping to reimagine digital editions beyond the constraints of print-based models. In particular, it researches and analyses how computational and AI-driven methods, including but not