198 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" positions at Cardiff University
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decisions we will evaluate applicants on the quality of their research, not publication metrics or the identity of the journal in which the research is published. More information is available
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to complete tasks, referring more complex queries to your line manager, making sure all relevant information is passed on accurately. Establish good working relationships with key contacts to help support and
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, establishing their requirements and adapting standard responses accordingly. Gather and analyse vehicle fleet data to update administrative systems with accurate information, establishing basic trends and
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across a broad range of activities, including: Conducting home visits to families to collect rich, naturalistic data using infant head-mounted cameras, infant head-mounted eye-tracking, and observational
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the Independent Adjudicator (OIA) and other organisations when necessary. The role involves supporting the Student Cases Team in producing detailed, complex and highly confidential information within rigid
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standard office systems and procedures and make improvements as appropriate Customer Service, Communication and Team Working Ability to communicate conceptually detailed and complex information effectively
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appropriate. Customer Service, Communication and Team WorkingAbility to communicate conceptually detailed and complex information effectively and professionally with a wide range of people. Evidence of ability
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Reduced rates on sports memberships Access to 90 plus staff discounts and deals Discounted childcare For more information go to: What we can offer - Jobs - Cardiff University Please note this role requires
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coursework and exams, servicing examining boards and other meetings, and maintaining programme and module information and student records. Gather and review data to update administrative systems such as
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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