Environmental signalling in Plants - EPS Summerschool

Dates 24 - 26 August 2026

Location Utrecht University, the Netherlands

Information

We would like to invite you to join the PhD Summer School that has an attractive program with many expert speakers in the field of environmental signaling in plants. In addition to the invited speakers, there are 3 parallel sessions in the program for oral presentations by PhD students that will be selected from submitted abstracts. Moreover, there will be ample opportunity for discussions with speakers and fellow PhD students during breaks/lunch and the poster viewing session.

The meeting is especially attractive for PhD students, but the program will also be of interest to post-docs and senior scientists. The summer school is truly international; in past years it has attracted students from many European countries and even from outside Europe. We hope to see you this summer in the beautiful and lively historic city of Utrecht!

Don’t miss out on the fantastic opportunity to meet fellow plant scientists in person and register before 7th June 2026 at: https://utrechtsummerschool.nl/courses/life-sciences/environmental-signaling-in-plants

PE&RC PhD candidates can claim 50% of the fee (= €200,-) by submitting an external course subsidy request to PE&RC: https://www.pe-rc.nl/perc-subsidy-external-course-fees.

Upcoming courses

Geostatistics

1.5

To be announced

This course aims to provide PhD candidates with a solid background in standard and more advanced geostatistical methods, such that they can apply these in their own research. The course is a mix of theory and practice, with case studies that are analysed using R and contributed geostatistical packages.

Design of Experiments (WIAS and PE&RC)

0.8

17 - 19 Dec 2025

The aim of this course is to provide an understanding of the statistical principles underlying experimentation. A proper set-up of an experiment is of utmost importance to be able to draw statistically sound conclusions.

Python Programming for PhDs

1.8

26 Jan - 4 Feb 2026

Programming can serve multiple purposes. Purposes like developing applications and working with data are also very useful for research. For dealing with these issues, Python offers many libraries. Getting the skills of working with some of these libraries will enable future learning. This can be for more advanced programming applications, but also for self-learning to apply different libraries.

Meta-analysis

0.6

Expected 2028

Researchers trying to summarize the constantly growing body of published research are increasingly using meta-analysis. The focus of this 2-day course will be on concepts of linear models and mixed linear models in meta-analysis. The statistical software R will be used.

Structural Equation Modelling

1.5

2 - 6 March 2026

This course will empower attendees to maximize and defend their scientific interpretations based on their expert knowledge as informed by quantitative results. A new procedure, “causal knowledge analysis” will be introduced as a way to document expert knowledge and set the stage for SEM analyses. Once that is accomplished, structural equation modeling techniques will be presented as a methodology for representing and evaluating hypotheses involving networks of relationships.

Business hour