Wanted: Volunteer Instructors for CodeFirst

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Each semester CodeFirst runs free community courses aimed to provide women with technical and digital skills.  The courses are taught by volunteer instructors all across the country and this October they are coming to the University of Manchester.

They are looking for a diverse range of enthusiastic volunteer instructors for the upcoming autumn sessions. Instructors come from a variety of cultural and coding backgrounds, and include computer science/technical postgraduates, company based professionals, freelance developers, and university staff. All instructors work on a voluntary basis.

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Introducing the Research Lifecycle

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A guest blog post from Angus Hearmon, Head of Research IT, who introduces the Research Lifecycle project and explains what it means for researchers across the university.

The Research Lifecycle project is a program of work to deliver and embed systems and processes that enable and support researchers through the entire lifecycle of their research project from the conceptual phase through to the publication and archiving. This work will support the M2020 goal 1 of “World Class Research”.

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Upgrade to the iCSF

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Research IT are pleased to announce that thanks to further investment from IT Services, the popular interactive Computational Shared Facility (iCSF) will be upgraded over the summer.  Currently the iCSF has 64GB and 256GB RAM nodes (and a 2TB node) and it will be upgraded with six new high memory 256GB nodes. The high memory nodes allow much larger datasets to be processed then can usually be done on desktops and workstations.

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A New Way to Produce Research Papers

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David Mawdsley, a Research software engineer (RSE) in Research IT, presented at the recent Docker Containers for Reproducible Research Workshop (C4RR) organised by the Software Sustainability Institute.

His presentation described a new method of producing research papers using containerisation, which makes both the analysis and manuscript easy to produce and extend.  This can be used as a starting point for a new, versioned publication model, which will allow early publication of results and their incremental extension.

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