Plant Science Data Analysis Clinic (Basel)

2025_HS_DataAnalysisClinic
17.09.2025 - 10.12.2025
12 part days
  • 17.09.2025, 13:00 - 16:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 24.09.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 01.10.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 08.10.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 15.10.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 22.10.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 29.10.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 05.11.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 12.11.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 19.11.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 26.11.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 03.12.2025, 13:00 - 15:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
  • 10.12.2025, 13:00 - 16:00: Plant Science Data Analysis Clinic (Unibas VVZ: 76283)
Start registration period: 02.06.2025
End of registration period: 11.08.2025
Basel
12
12
Students enrolled in PSC PhD Programs: CHF 0
All others: CHF 300

!!!THIS COURSE IS ORGANISED IN BASEL!!!

In this course, students will bring a problem from their PhD or master’s project to share with the class. Students will get tailored advice about the appropriate statistical analysis/approach for their data in this course. They will work on their problem with guidance from the instructor and peer support through regular online meetings. At the end of the course, students will present their solution to the class. Workshop 1: Introduction and organization, Students’ presentation of their problem. Week 2-Week 11: Weekly group online classes (1.5 hours). Workshop 2: Final presentations of students’ projects, discussion and feedback.

Learning Objectives - Students will gain hands-on experience using GitHub within RStudio for version control and collaboration - Students will develop an R script tailored to analyze their specific research problem - Students will contribute to a shared repository of R scripts, enhancing collective learning and code reusability.
Dr. Natacha Bodenhausen
1
PhD & Master Students
Postdocs if places available
Basic knowledge of R (for example, attendance of the PSC course “Introduction to R”) as well as a basic course in statistics.
English
Active participation includes a mandatory 6 hours of in-person engagement, 10 online classes, and the submission of an R script presenting the solution to the problem.

By registering you agree to the PSC course terms and conditions AGBs

Arrange cancellation with the PSC coordination office (psc_phdprogram@ethz.ch): Up to 2 weeks prior to course start without a fine.
Later cancellations and incomplete attendance without documented justification will incur a fee of 200 CHF.
After your place at the course get confirmed (one month before the course), please send an email to natacha.bodenhausen@unibas.ch including your PhD program or master’s degree and a short description of your scientific problem (5 sentences maximum).

Zurich-Basel Plant Science Center

Dr.Jelena Rajkov (jelena.rajkov@unibas.ch)
HS25_Plant_Science_Data_Analysis_Clinic.pdf
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