379 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield in United Kingdom
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We are looking for an experienced administrator to support the Associate Director of Student & Academic Services (Education Development Services). You will provide comprehensive personal assistance
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Faculty of Engineering. Demonstrate and train new users in the safe and effective operation of specialised university research equipment, maintaining full compliance with Health and Safety procedures. Take
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staff and students. Participate in consortium meetings and seminars, in particular with collaborators Plan up to several months in advance to meet deadlines for journal publications and to prepare
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, automation, digital technologies and software development. The AMRC works across a range of manufacturing sectors; primarily aerospace, defence and nuclear energy. Main duties and responsibilities Be an active
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, combining synthesis of existing evidence with the generation of novel, regionally focused insights in order to support the Sheffield City Council public health team while they develop the scope for a new
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treatment. Uranium has multiple oxidation states hence understanding the impact of redox on the incorporation of uranium into vitreous products is essential. The overall aim of this PhD is to develop
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public representations of a healthy life. 2) analyse how competing priorities and understandings of multispecies health are negotiated in practice. 3) develop new theoretical approaches to identify and
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-molecule techniques is also essential. The successful candidate will be encouraged to develop and acquire new skills during their time in the role. The University of Sheffield has state of the art facilities
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. Support the Business Operations Manager in developing operational plan to give direction to the team and service and to support the department’s activities, ensuring optimum resource levels are maintained
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flagship Open Multimodal AI Benchmark (OMAIB) initiative. OMAIB develops open, community-driven datasets, evaluation protocols, baseline models, and deployment-centric tasks to accelerate multimodal AI