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Are you a UK-based doctoral student who is keen to further develop your skills? The Doctoral Landscape Training Network (DLTN) is a network of UKRI-funded doctoral training programmes that aims to provide advanced training in research skills for students enrolled in doctoral research, particularly students enrolled in UKRI-funded programmes.
On this site you can find details of upcoming courses currently offered by DLTN programmes and partner organisations. If you wish to apply to join a course, please: Ensure that you meet any prerequisites for the course you are applying for. Seek approval to apply to a course from your supervisory team. Ensure that you have access to funding to meet any associated costs.
If you are a UKRI-funded training provider and wish to advertise a course or training opportunity via the DLTN please complete the form available here.
Upcoming Courses:
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Introduction to command line bioinformatics - 06 October 2026, 10AM-4PM
Location: online
Registration deadline: 21 September 2026
Bioinformatics is an increasingly important skill for biological scientists. Many bioinformatic tools can only be run on Unix based operating systems. This course is aimed at beginners and novices to the command line; it will give an overview of fundamental unix commands, directory navigation, and file manipulation. The course will act as a perfect primer for those interested in our other Bioinformatic courses.
Due to our funding restrictions, we must prioritise researchers working within the NERC remit who are currently in a UK Higher Education institution at minimally PhD student level; only 20 places are available so please only register if you intend on attending.
Course certificate can be issued upon request.
If you have any queries regarding this training, please contact neoftraining@sheffield.ac.uk
Registration Form
Should the course be oversubscribed, an additional day will be set up for Thursday 8th October (10am-4pm).
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Introduction to sequencing data and quality control - 3 & 5 November 2026 (2-day course)
Location: online
Registration deadline: 20 October 2026
There are 3 sequencing technologies that are heavily used for biological research; Illumina, PacBio, and ONT. These three technologies each have their own errors and biases. At the end of this course you will understand these error profiles, and be able to use command line tools to measure sequencing quality and conduct quality control.
Due to our funding restrictions, we must prioritise researchers working within the NERC remit who are currently in a UK Higher Education institution at minimally PhD student level; only 30 places are available so please only register if you intend on attending.
The course is free; registrants will be advised two weeks prior to the course whether they have been selected and Zoom / Slack links shared ahead of the course; register to NEOF monthly newsletter for further info on free training (https://neof.org.uk/news/)
Course certificate can be issued upon request.
If you have any queries regarding this training, please contact neoftraining@sheffield.ac.uk
Registration Form
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A beginners course in High Parameter Flow Cytometry Data Analysis - 4-5 November 2026
Location - in person: Department of Biology, University of York
Pre-requisites: 1) Your own laptop with Python installed (instructions will be provided). 2) An understanding the basic principles of flow cytometry compensation, plotting fcs data and conventional gating data analysis.
This course is designed to train beginners how to undertake high dimensional flow cytometric analysis. This will be a practical based course with the theory and concepts behind dimensionality reduction and clustering in a manner that is relevant and practical to cytometerists.
No programming experience is required, and so this will be a greater way to remove the barriers to undertaking and supporting deeper flow analysis. It will teach how to use python and flow cytometry analysis software FCS Express (De Novo, Dotmatcs) and will go through the practice as well as the pre-processing tasks required for analysis pipelines.
At the end of the course you should have an understanding of the associated mathematical algorithms, which algorithms to choose, what they illustrate about the data set and how to integrate Python scripts into the FCS Express flow cytometry analysis software. Thanks to our collaborator De Novo Software for helping make this course possible.
Registration Link
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R Primer for omics - 24 & 26 November 2026 (2-day course)
Location: online
Registration deadline: 09 November 2026
R is a highly used programming language for visualisation of data and statistical analysis. There are many R packages for the analysis of biological datasets. This course is aimed at beginners and novices to R. It will give an in depth overview of the foundations of R and Rstudio plus introduce data sorting, visualisation and statistical analysis.
Due to our funding restrictions, we must prioritise researchers working within the NERC remit who are currently in a UK Higher Education institution at minimally PhD student level; only 30 places are available so please only register if you intend on attending.
The course is free; registrants will be advised two weeks prior to the course whether they have been selected and Zoom / Slack links shared ahead of the course; register to NEOF monthly newsletter for further info on free training (https://neof.org.uk/news/)
Course certificate can be issued upon request.
If you have any queries regarding this training, please contact neoftraining@sheffield.ac.uk
Registration Form
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Python for Bioinformatics - 08 & 10 December 2026 (2-day course)
Location: online
Registration deadline: 23 November 2026
Python is one of the most popular programming languages for bioinformatics and data analysis in general. It is a very flexible language with countless applications in the manipulation and processing of data files. This course is aimed at Python beginners and will give you transferable skills to manipulate your own data and experience in Python modules tailored specifically for bioinformatics and genomics analyses.
Due to our funding restrictions, we must prioritise researchers working within the NERC remit who are currently in a UK Higher Education institution at minimally PhD student level; only 30 places are available so please only register if you intend on attending.
The course is free; registrants will be advised two weeks prior to the course whether they have been selected and Zoom / Slack links shared ahead of the course; register to NEOF monthly newsletter for further info on free training (https://neof.org.uk/news/)
Course certificate can be issued upon request.
If you have any queries regarding this training, please contact neoftraining@sheffield.ac.uk
Registration Form
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