13 Statistics positions at University of Cambridge in Ireland-United-Kingdom in United Kingdom
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statistical methods for biomedical applications. These internships are funded by NIHR and might ideally suit 2nd and 3rd year undergraduate students and students having recently graduated in Mathematics
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A position exists, for a Research Assistant in Behavioural and Computational Neuroscience in the Department of Engineering, to work on projects in the field of statistical learning, decision making
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Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three broad aims
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Pillar (MWB), led by Professor Gordon Harold with co-leads Professors John Aston (Department of Pure Mathematics and Mathematical Statistics) and Diane Coyle (Department of Politics and International
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YouTube 19 Learn more about this provider #-#Pending Expiry: SessionType: HTML iU5q-!O9@$Registers a unique ID to keep statistics of what videos from YouTube the user has seen. Expiry: SessionType
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have sound organisation, time management and planning skills with the ability to work independently. Strong IT and statistical skills with considerable experience in relevant software such as SPSS, R and
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, and book moving activities on a daily basis. You will be responsible for collecting and maintaining statistics, data entry, checking of bibliographic information and using the Library Management System
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A position exists for a Research Assistant in the Department of Pure Mathematics and Mathematical Statistics. The successful candidate will join the UKRI-funded team of Dr Rong Zhou to work
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-cell and spatial transcriptomic analysis workflows Statistical analysis and data visualization Interaction and collaboration with researchers within the McGovern team Consultation regarding the planning
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be required to liaise with members of the bioinformatics core facility in the analysis of datasets and communication of the results to facility users; experience with statistical or computational