Introducing a weekly maintenance and security update window

To ensure our research computing platforms remain secure and stable, we are establishing a regular weekly maintenance and update window starting from Tuesday 3 November. Moving to a predictable schedule allows our systems team to apply essential patches regularly. This reduces the need for short-notice, emergency interventions. What is changing? An at-risk maintenance window will … Continue reading “Introducing a weekly maintenance and security update window”

We’ve moved to SharePoint!

We’re pleased to announce that the Advanced Research Computing team webpages have moved to a new SharePoint site, available to University staff and PostGraduate Researchers (PGRs). Moving to SharePoint has given us a great opportunity to review and streamline our content. As a team, we’ve worked together to make information easier to find, reduce duplication … Continue reading “We’ve moved to SharePoint!”

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How does brain function change as we age? Developing robust methods for neuroscience with BlueBEAR

In this case study, we hear from Andrew Quinn, a researcher in Psychology, who uses BEAR to understand how brain activity changes through the adult lifespan. We investigated how brain activity changes through the adult lifespan. This has been studied in previous publications, but the overall literature presents a mix of results.  Measures of brain … Continue reading “How does brain function change as we age? Developing robust methods for neuroscience with BlueBEAR”

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From health records to better maternity care: MuM-PreDiCT and BEAR

In this case study, we hear from Megha Singh, a researcher in Applied Health Sciences, who uses BEAR to understand the impact of multiple long-term conditions (MLTC) in pregnancy. Dr Megha Singh is a health data scientist and project manager on the MuM-PreDiCT consortium at the University of Birmingham, where she studies how routinely collected … Continue reading “From health records to better maternity care: MuM-PreDiCT and BEAR”

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Accelerating Next-Generation Optical Neuroimaging with Machine Learning

In this case study, we hear from Samuel Montero Hernandez, an Assistant Professor of Computer Science, who uses BlueBEAR to develop methods for better understanding how the brain responds to complex, real-world stimuli. I am an Assistant Professor in Computer Science at the University of Birmingham, where my research focuses on analysis and methodological development, … Continue reading “Accelerating Next-Generation Optical Neuroimaging with Machine Learning”

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Why did a COVID vaccine cause blood clots? Tracking a new disorder from clinic to lab bench

In this case study, we hear from Phillip Nicolson, a researcher in Cardiovascular Sciences and consultant haematologist, who uses the research data store (RDS) to store data on clotting caused in a small number of people after receiving the COVID-19 vaccine. In 2021, a new blood disorder, vaccine-induced immune thrombocytopenia and thrombosis (VITT), emerged in … Continue reading “Why did a COVID vaccine cause blood clots? Tracking a new disorder from clinic to lab bench”

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