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Infrastructure & Environment PhD opportunities Our Infrastructure and Environment research division seeks to respond to current societal challenges through the ideas and creativity of engineering
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team members to allow for a positive, professional environment. 8. Maintain and clean food storage areas – i.e. freezers, refrigerators and dry stores 9. Demonstrate a passion for customer service
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Ability to maintain a high standard of accuracy and attention to detail when working in a busy environment. C8 Able to work as part of a team to contribute to a positive and productive work environment and
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Knowledge of Health & Safety requirements in a similar environment. Skills Essential: C1 Excellent time management skills. C2 Strong people management and leadership skills. C3 Problem solving and attention
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, Microsoft Windows, Office365 and other main applications (e.g. Zoom) used in the University, in a networked environment. C2 Effective Customer Service, interpersonal and communication skills. C3 Initiative
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: D1 Able to multitask and work in a flexible manner. Experience Essential: E1 Experience of working in a team environment. E2 Experience of an office environment. E3 Experience of providing a high level
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. Ability to work to tight deadlines within a pressurised environment. C9. Ability to contribute to on-going operational and procedural efficiency improvements in an office environment. Desirable D1. Working
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the Understanding Society Innovation Panel (https://www.understandingsociety.ac.uk/documentation/innovation-panel/) in 2024 to draw a representative sample to carry out a larger indoor environment study. This project
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an appropriate project management qualification such as PRINCE2 or Agile. A4 Experience working in a similar PMO or project environment. A5 Basic understanding of planning methodologies and tools. A6 Understanding
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excellent influencing and interpersonal skills. C4 Excellent organisational skills with the ability to handle multiple priorities in a fast-paced environment. C5 Proven ability to manage own workload