71 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Manchester Metropolitan University
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communicator, able to influence and persuade academic and professional services stakeholders. Further information To make an initial informal enquiry, please contact Professor Fiona Saunders (Director, Centre
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upon and influence sector-wide best practice. Further information To make an initial informal enquiry, please contact Professor Fiona Saunders (Director, Centre for Learning Enhancement and Educational
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. The aim of the service is to provide accurate, efficient and timely information and full resolution where possible. Working in the Assessment Service Desk team involves taking responsibility for first line
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software and services to solve unique problems and support mission critical functions within the university enabling it to achieve its strategic goals. We ensure our systems and data are highly resilient
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evenings and weekends Further information about the role can be found in the attached Job Description below. About You: You'll be someone who brings enthusiasm, reliability and a strong focus on customer
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role, please contact Ben Dodd, Technical Manager B.Dodd@mmu.ac.uk Further Information Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates
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Road to 2030 strategy. You will bring insight, challenge, and expertise (using data, analytics, and strong commercial acumen to influence decision‑making and drive organisational effectiveness). Working
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for proactive, creative individuals who thrive in a dynamic environment and can adapt to changing priorities, taking a data-led approach to planning and delivery. You'll have excellent communication skills and
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criteria: Knowledge of the molecular basis of ageing, muscle physiology, or the circadian clock. Experience or strong interest in data science, machine learning, or bioinformatics. Exposure to high
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities