45 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" positions at Manchester Metropolitan University
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global assets projected to reach 62% by 2030. While this growth fosters financial inclusion, it also creates new and underexplored risks at the intersection of technology, human behaviour, and market
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Project advert Modern artificial intelligence (AI) increasingly relies on combining multiple sources of information, such as sound, motion, images, and sensor data, to achieve robust and intelligent
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activity related to the ECSS Congress. Manage multiple project workstreams, ensuring delivery to agreed timelines, budgets and objectives. Build strong relationships with stakeholders across the University
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. The Department of Computing and Mathematics, within the Faculty of Science and Engineering, is a dynamic and research-active community comprising over 80 academic staff and 2,000 students. The department has
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the apprenticeship standard. In this role you will be coaching and supporting apprentices across a range of programmes in our multiple award-winning teams including: Digital & Technology Solutions L6 & L7 Chartered
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organised and able to manage multiple tasks - Is proficient with Microsoft Office applications and able to learn new systems - Has experience working in a busy administrative environment, ideally within
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-generation screen-printed electrochemical biosensor arrays capable of detecting multiple biomarkers simultaneously. The successful candidate will explore innovative electrode designs, advanced surface
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a release management role Experience in an Agile environment Excellent Communication Skills Strong organisational and prioritisation skills Experience of working across multiple projects and
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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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objectives: Establishing a co-culture system with rhythmic stimulation to model an aged phenotype, followed by mechanistic interrogation using comprehensive metabolomics, structural, and functional analyses