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PE&RC - The Graduate School for Production Ecology & Resource Conservation

The Graduate School for Production Ecology & Resource Conservation (PE&RC) is a collaborative research and PhD/postdoc training institute, coordinated by Wageningen University (WU). Members of PE&RC are academic staff, postdocs and PhD candidates of Wageningen University, Utrecht University, University of Amsterdam, Vrije Universiteit Amsterdam, Radboud University, Naturalis Biodiversity Center, and the Netherlands Institute of Ecology. Central focus of the collaboration is the PhD programme that is embedded in a coherent and productive research environment that aims to perform frontier academic research of the highest quality. For more information, click here.

Highlights

Tidy data transformation and visualization with R

1.2
1, 4, 6, 8 May 2026

In this workshop, participants will learn the principle of tidy data, how to transform and combine datasets using the tools from the tidyverse and how to generate advanced visualization with the ggplot2 package.

Basic Statistics

1.5
6, 7, 11, 12, 13 May 2026

This is a refresher course aimed at PhD candidates. The level is that of a second course in Statistics. 

Natural disturbances and restoration activities in European forests

1.5
10-16 May 2026

European forests have a central role to play in biodiversity conservation, as is recognized by recent publications and policy documents.

Introduction to LaTeX

0.1
29 May 2026

This is a brief introductory workshop especially aimed at those who have little or no experience working with LaTeX. There will be a theoretical and a hands-on practical part. The theoretical part covers the basics of what TeX and LaTeX are, how they compare with Office text processors, and how to get started with writing documents. The practical is a hands-on demonstration of some of the more useful features of LaTeX, such as making Gantt charts, bibliography management and automatic acronym expansion.

Introduction to Machine Learning

1.5
1 - 5 June 2026

Machine learning plays an increasingly important role in many scientific areas, including geo-information science and remote sensing, ecology, biosystems engineering, and bioinformatics. 

Mixed Linear Models

0.9
3, 4, 8 June 2026

In this module we discuss how to analyse data for which the assumption of independence is violated. In this course, you will learn all about it!

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