162 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" positions at Cardiff University
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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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interpretation of data from the UKRI NERC GRIM-SAF research programme, towards its publication in high-ranking international journal articles. This research program is conducted in partnership with
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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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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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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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cybercrime Computational criminology Social Network Analysis Policing, crime mapping and crime prevention International criminology and criminal justice Expertise in quantitative research methodology
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@cardiff.ac.uk Informal enquiries in relation to the recruitment / application process can be sent to Leah Fowler, HR Administrator – SHARE-HR@cardiff.ac.uk This post is full time (35 hours per week), is fixed
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specification as a key tool for short-listing and we only invite candidates to interview who clearly evidence that they meet (or partially meet) each of the essential criteria. During the application process you
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professional teaching and supervision to trainee educational psychologists and contribute to all aspects of the DEdPsy Programme delivery. Candidates will: be fully qualified educational psychologists have a
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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