56 data "https:" "https:" "https:" "https:" "Inserm" positions at Manchester Metropolitan University
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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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Director of OD in person on Thursday 9 April Further information Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse
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and partner urban sites, the successful candidate will collect and analyse real-world environmental data to evaluate how vegetation interacts with the built environment. You will be supported by a
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partners in co-designing and evaluating AI-enabled systems and contribute to research in Human-Computer Interaction (HCI) and Assistive Technology. This is an excellent opportunity for a motivated researcher
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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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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
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, schedule experiments, collect and analyse data, present findings and oversee day-to-day running to project. Adherence to Good clinical and research practice guidelines will be required. The successful
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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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Manchester Metropolitan University is focused on leverage the most from its data as we embrace, modernise and also to make the most of data from our existing systems as well as emerging platforms