164 parallel-computing-numerical-methods uni jobs at Cardiff University in United Kingdom
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) research programme is an EPSRC-funded programme that will develop the skills of Research Technical Professionals (RTPs) - specialists who apply their technical knowledge and expertise to advancing research
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consistently among the top 100 universities in the world. Cardiff is also developing its Innovation System through a focused programme of investment in people and infrastructure. Research funding secured from
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Neuroinflammation/ Complement Biology in the UK DRI at Cardiff University School of Medicine, based at the Heath Park campus, Cardiff. This post will join an ongoing programme of research supported by LifeArc
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to the management of postgraduate research Teaching • To lead on degree and module development and delivery and contribute to the pedagogy of subject area • To act as programme manager, module leader and / or
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with the Business Manager and the academic Programme Director to deliver this government-backed initiative, designed to enhance management skills and drive business growth within UK SMEs. Cardiff
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appropriate • Liaise with funders (Health and Care Research Wales / ECMC CRUK Programme Office) on data requirements • Collaborate with the Bioresource Data Accelerator team to support data integration
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part of a team of supervisors; all of whom have areas of expertise and interest of their own. In the role, you become an integral and vital part of the Undergraduate teaching programme in the School and
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Sciences. The University’s ambition is to rank consistently among the top 100 universities in the world. Cardiff is also developing its Innovation System through a focused programme of investment in people
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prevention, DBS/Criminal conviction clearance, and complex fee status assessments. - Management of communications, new programme set-up/programme maintenance, website provision (internal and external), and
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detection and reducing antimicrobial resistance. The project will build on the group work on computational design of repeat proteins and their use as building blocks for design of novel proteins with custom