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focus on quantitative data collection, analysis and interpretation, alongside supporting the development of research proposals, ethics applications and dissemination of findings. You will work closely
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. About the role You will: Provide research and administrative support to ongoing projects Contribute to empirical data collection (including interviews, focus groups, and surveys) Assist with qualitative
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bookings, transport, catering, and AV equipment. Assist with the administration of work experience and T Level industry placements, including logging placement information, gathering documentation, and
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for the development and delivery of the University’s Management Information solutions to support the University’s needs for Data Integration and Business Intelligence (BI) as well as key performance indicators which
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and user support for the Collections Management System (EMu) used by the Museum of Natural History and the History of Science Museum. You will maintain, develop and implement data standards, policies
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of our reception area. In this vital role, you’ll deliver efficient administrative support, handle sensitive information with care, and help ensure patients receive the right assistance at the right
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Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services
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, conditions and benefits , including development opportunities, health and wellbeing support and a work-life balance. For more information, please do get in touch by email with Dr Connor Darling, , kindly quote
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opportunities for communications and new business. About you The successful candidate should have relevant experience in administration, managing external partners and the handling of data. In addition, the post
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devices; evaluate and integrate new analytical instrumentation. Testing & Characterization: Design and execute experiments to evaluate mechanical, thermal, and chemical properties; analyze data to inform