Thu - Fri 9 Apr 2026 - 10 Apr 2026Past

By DKZ.2R: LaTeX for Academic Publishing

Workshop Cologne (University of Cologne)
Workshop LaTeX Carpentries
Registration Closed

We are happy to announce another event of our well received Carpentries workshop “LaTeX for Academic Publishing”. This time the event will take place on April 9th and 10th at the University of Cologne. The workshop will cover the basics of structuring and writing a LaTeX document, as well as including graphics, tables, managing references, and other common tasks.

Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. The event is open for all participants affiliated with a research institution in Germany. No prior knowledge of LaTeX is required.

As always, this event is free of charge thanks to BMFTR funding!

If you are interested, you can register and find more information via this link.

All workshop material is also available online on GitHub: Link to repository

  • Title: An Introduction to Using LaTeX for Academic Publishing
  • When: April 9th (9am-5pm) and 10th (9am-2pm), 2026
  • Where: University of Cologne, Weyertal 119a (Modulbau/Building 911), Seminar room S224
  • Format: This workshop in In-Person and no remote or online attendance options are currently planned.
Tags :

Related Posts

Do's and Don'ts in Research Data Management

Do's and Don'ts in Research Data Management

Research Data Management Do’s and Don’ts - Step up your RDM skills!

1. Structuring and naming your folders There is an easy way to make your data findable for you and your team: establish a folder structure which makes sense for you and your working group as well as naming conventions for your folders.

Don’t:

Paul and Suzie
»Guideline
>application
»version2_final
»v.3
»review
»3rd.version
>JD
»qn
»0-1

Instead do:

000_int_orga
»01_application
»02_review 120_questionaires
»01_qualitative »02_quantitative 130_data
»01_qualitative »02_quantitative

Read More

By DKZ.2R: Data Analytics for Engineering Data Using Machine Learning

We are happy to announce our new course “Data analytics for engineering data using machine learning”. The event will take place online on three consecutive days in february of 2026. This three-day online workshop addresses the preparation, analysis and interpretation of numerical simulation data by machine learning methods. Besides the introduction of the most important concepts like clustering, dimensionality reduction, visualization and prediction, this course provides several practical hands-on tutorials using the python libraries numpy, scikit-learn and pytorch as well as the SCAI DataViewer.

Read More
A Survival Guide to Research Data Sharing Services in the Rhine-Ruhr Region

A Survival Guide to Research Data Sharing Services in the Rhine-Ruhr Region

A Survival Guide to Research Data Sharing Services in the Rhine-Ruhr Region

There are a lot of reasons why collaborating with other researchers on scientific projects is great! It provides new perspectives and gives you the chance to benefit from other people’s knowledge and input. When it comes to sharing and exchanging data across multiple locations and devices however, researchers are often disoriented and don’t know which tools, cloud services and so on are safe to share data in a secure and ethical way.

Read More