204 component-labeling-agorithm-cuda positions at Cardiff University in United Kingdom
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knowledge of participant and patient MR safety. Training on CUBRIC and Cardiff University processes will be given as part of employee induction. Assist in booking and time-management of CUBRIC scanning
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for progression to degree-level studies. This is an exciting opportunity to be part of a new academic venture and support students on their higher education journey. The roles are full time, fixed term from 22
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applications that underpin the long-term sustainability of the institute. The post will be based at Cardiff University and will be part of a multi-disciplinary drug discovery team. For informal inquiries, please
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a key tool for short-listing. Candidates should evidence that they meet ALL of the essential criteria as well as, where relevant, the desirable. As part of the application process you will be asked
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reactive maintenance environment. Can work well as part of a team and independently. Are available to participate in a mandatory out of hours 1 week in 5 ‘on-call’ rota Can communicate and deliver excellent
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, City & Guilds or equivalent qualification. 18th Edition IET Wiring regulations. JIB AM2 Are experienced in working within a reactive maintenance environment. Can work well as part of a team and
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careers of women working in science. The University is committed to ensuring that we sustain a positive working environment for all staff to flourish and achieve. As part of this commitment, the University
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as part of a small team, providing support for grant applications, research ethics and Open Access and ensuring that all research activities are professionally delivered and the needs of our staff and
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31 March 2027. Part-time working will be considered. In supporting our employees to achieve a balance between their work and their personal lives, we will also consider proposals for flexible working
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affiliated with the programme. The role holder will be required to provide support with programme data as part of the improvements to the collection of national student mental health appointment data. Key