152 computer-science-intern "https:" "https:" "https:" "https:" "P" positions at University of Liverpool
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Health Translational Research Collaboration and which sits within a ground-breaking new Centre: Civic Health Innovation Labs (CHIL). M-RIC is an ambitious programme of work jointly delivered between
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items and cleaning duties externally and internally. Reporting to the Domestic and Reception Supervisors, you should be able to work as part of a team as well as on your own initiative. You should be
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. You will be required to support internal and external events which may require weekend or out of hours working. This post is fixed term for 12 months. Commitment to Diversity The University of Liverpool
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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students and over 6,000 academic and professional services employees. You will report to the Senior Mechanical Engineer forming part of the Engineering Services Group led by and the Head of Engineering
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incidents accurately using computer systems. During a single shift, you may, for example, support a person reporting a crime on one call and assist a student experiencing difficulties with university life
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the LCTC QMS, including the LCTC controlled document system, auditing programme, training programme and non-conformity system. On occasion you will also develop and provide training, guidance and feedback
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Strategic Change is working in partnership with Senior Leaders to deliver a number of projects and programmes in support of Liverpool 2031 and other strategic priorities and has an exciting opportunity to recruit a Process Improvement Support Officer on a 12-month fixed term maternity cover. You...
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We seek an enthusiastic and experienced person to provide communications support for our Applied Research Collaboration North West Coast (ARC NWC) research programme. You will be responsible for co
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projects aimed at advancing our understanding of cancer biology and improving patient outcomes. You will work with advanced technologies, pre-clinical tumour models, and patient-derived samples, contributing