193 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of London
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– Enterprise Applications. This post will play a vital role in supporting the organisation’s data infrastructure and enabling the successful implementation of a new Student Records System. The successful
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data management. Other services within the portfolio include online applications, applicant & student engagement, and a variety of data integrations using a mix of Ellucian, Oracle and Microsoft
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical
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analysing visual or multimodal data, and a strong theoretical understanding of ethnography and critical disability studies or critical autism studies. Applicants should also have experience in designing and
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institute with a core of over 130 researchers, research students and legal information professionals, but which draws its primary membership from academic researchers and postgraduate research students from
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, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity
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variety of customer queries. While full training will be given for all of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In
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of the relevant Universities' computer systems, competent knowledge of Microsoft Office including Excel is essential for the role. In addition, you should be well-organised, and proactive, have an engaging
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colleagues to ensure the smooth operation of daily processes and systems within the admissions department. The post holder will be responsible for developing processes to allow improvements in data management
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, Windows Server concepts and tasks as well as Microsoft 365 tools and applications. A keen interest in developing their skills in data management, cloud computing, information security and scientific