64 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Manchester Metropolitan University in United Kingdom
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information services and solutions for students, working with the University to understand changes to processes and procedures so we can deliver customer excellence at all times. About the role: As a Student
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point of contact for initial enquiries from students, staff and external stakeholders. respond sensitively to enquiries and handle personal information in line with university procedures and data
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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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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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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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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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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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model for simulating erosion and depositional processes in river systems. Experience in using, editing and processing large spatial data sets Hold, or be undertaking and working towards a doctoral level
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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