158 linked-data-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions at Cardiff University
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builders. Interpreting complex and technical information, and communicating this to a wide range of audiences, will be fundamental to the successful delivery of your work. This role is eligible to be offered
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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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as well as being adept at data manipulation and analysis, with the ability to prioritise your workload and work under pressure, and to use sensitivity and professionalism when communicating with varied
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administrative duties like management of student attendance, updating student information, collating student data, attendances and supporting learning materials. Liaising with colleagues from across the University
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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 at: Responsible
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. Ability to communicate conceptually detailed and complex information effectively and professionally with a wide range of people 7. Ability to work well within a team to achieve the team’s objectives, but
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achieve its objectives. Work with others to make recommendations to improve our ways of working. Gather and analyse data (e.g. business travel, staff and student travel, fleet mileage data) so that informed
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customer service; and communicating complex information effectively. They should also be capable of setting up and improving administrative processes, influencing key stakeholders, and planning and managing
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experience in relevant techniques, laboratory housekeeping and maintaining records under the Human Tissue Act. For further information candidates should contact Professor Matthias Eberl (eberlm@cardiff.ac.uk
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-scale data using complex statistical methods (i.e. structural equation modelling and/or multivariate analysis). The successful applicant will enjoy data analysis and working with complex data and will