126 computational-physics-"https:"-"https:"-"https:"-"https:"-"Itä-Suomen-yliopisto" positions at Cardiff University
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have a current contract of employment with the University. Internal Applicants Only - UG/PGT Taught Programme Administrator School of Journalism, Media and Culture College of Arts, Humanities and Social
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leading’. The School has five main research groups: Applied and Computational Mathematics; GAPT: Geometry, Algebra, Mathematical Physics and Topology; Mathematical Analysis; Operational Research; and
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20787BR University IT Managerial, Professional and Specialist Staff – MPSS Advert Engineer - Advanced Research Computing at Cardiff (ARCCA) You will work as part of a professional service delivery
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reporting, of the university transformation and change portfolios of programmes and projects. The role will support the development and maintenance of portfolio, programme and project activities aligned
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21329BR School of Physics & Astronomy Administrative Support Advert This post is currently open to employees of Cardiff University only. Please do not apply if you do not have a current contract of
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Science (RICHeS) programme, carrying out supporting work that helps lead to the publishing of high-quality research. To pursue excellence in research and to inspire others to do the same. This post is full
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. In addition, the postholder will provide administrative support to the Pro-Dean for Education and Students, assisting with portfolio, programme, and process enhancements and initiatives. The role works
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team members in welfare issues, escalating as necessary to specialist support areas. Provide support, feedback and pastoral care to students registered with the Career Confident programme. Ensure
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and conceptual issues are understood. • Provide support for the curriculum and programme design process, ensuring that development is: realised within the School’s project management
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advanced computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis