A brief intro to where Machine Learning fits into the work of the University of Sheffield RSE team.

See some examples of Machine Learning projects and training Introduction to Deep Learning, Fundamentals of Deep Learning for Computer Vision Workshop.

The team was recently asked to speak to a first year undergraduate Computer Science course with a view to introducing students to concepts in research software engineering, including some which they might use in their upcoming projects. The talk recording is embedded below, it starts at the beginning of the video and ends at roughly 55 mins. Alternatively, watch on The University of Sheffield digital media platform.

In this blog post we will introduce Git and talk about some terminologies related to Git and version control in general. We will also introduce some resources that might be helpful to read or watch.

Software engineer / developer / coder / RSE? Ever find there’s a branch with just too many commits to review effectively? RSE Sheffield’s Bob Turner may have the answer!

The Research Excellence Framework (REF) is the UK government’s scheme for assessing the quality of research in UK universities. Every few years, UK universities are asked to submit examples of their research for review, following an internal review process. In short, universities submit their best examples of:

• published articles,
• case studies of research impact, and
• data on doctoral degrees awarded and research income.

Starting Monday 7th Feb is a 12 week course on Parallel Computing with GPUs. The course has been designed as an undergraduate 4th year module for Computer Science but is available to staff and PhD Students (as part of the DDP program) and regularly has staff and PhD student enrollment.

Are you currently working or studying at the University of Sheffield and interested in a secondment to the Research Software Engineering (RSE) team to develop sustainable research software?

The RSE team has grown in the last couple of years but there is currently unprecedented demand for RSE support on research projects. We are urgently looking for someone to join our team of twelve on a short to medium term basis to work on one or two specific projects, the most significant being a role in the Scottish Covid Response Consortium (https://scottishcovidresponse.github.io). The main activities in that project include improving some modelling software, developing a data pipeline and an API, and integrating the modelling software within a framework. Python development experience, a working knowledge of version control with git/GitHub and of software testing are key; experience of developing/using web services and databases would also be useful. We want this secondment to be an opportunity for growth and we will support and mentor you in this role.

A guest post by Seb James, Research Associate, Department of Psychology (GitHub; Twitter).

In this blog post I’m going to talk about data visualisation - making graphs - within C++ programs. I’ll describe why you might want to do this and I’ll try to justify why I’ve spent a sizeable part of my time over the last couple of years developing graphing code in C++, rather than using Python or R like everyone else! The code I’ll discuss is available at https://github.com/ABRG-Models/morphologica.

This blog post provides a copy of my recent talk at the Royal Microscopical Society’s Virtual Data Analysis in Atomic Force Microscopy Meeting (Event Page): How can we make AFM data analysis more open and reproducible?

I’ve also put together what I hope will be some useful links:

Two challenges PhD students encounter are:

• Knowing what up-skilling to do when you start
• Not being aware of better ways of doing things or feeling you have the time to up-skill once you’ve gotten very busy

To help address the above for a particular case I spoke with a new cohort of PhD students today (from the Speech and Language Technologies Centre for Doctoral Training) to explain what high-performance computing (HPC) is and why they might care. The hope is that they will now be able to include HPC in their training plans once they recognise problems that HPC might be well-suited to helping with.