Dresden International Graduate School for Interdisciplinary Life Sciences

We are very pleased to announce the course Applied statistical data analysis with R for DIPP PhD students organized with the support of Dr. Michael Seifert. Group Leader at the Bioinformatics Core Unit, IMB TU Dresden.

• When: from 1–3 & 7 December 2021 (9:00–13:00)
• Where: University Clinics, House 105, Computer Pool (Room 2.350, 2nd floor), Blasewitzer Straße 86

Registered PhD students will be informed as soon as possible after the deadline whether a slot in the course could be assigned to them!

Registration

• Via the BIOTEC INDICO system
• The number of participants will be limited to 10 and the target audience are beginners.
• Registration deadline: Friday, 12 November 2021

Requirements

• Full attendance and active participation during the course and exercises. Please note that if you want to join the course, you are expected to dedicate your time fully to this course, to be present during the whole course and not to plan any additional activities during the schedule of the course. Therefore, please apply only if you can ensure full attendance.
• Corona 3G rules and mask for every day
• A letter of motivation
• Acceptance of the Guidelines for participation (see below)

You can find more information about the content and structure of the course on the registration website and the Course Description PDF.

Guidelines for participation

• We expect course participants to participate with dedication and regularity.
• If the course cannot be attended as originally planned, registration must be formally cancelled so that candidates on the waiting list can be included.
• Non-attendance without formal cancellation, or irregular participation without an acceptable excuse is considered as unexcused absence.
• We may consider further training requests from participants who did not comply with above mentioned points with low priority.
• For DIPP students, successfully completed courses will be officially recognized and certified by the instructor and the PhD Program Office.
• Participants are expected to contribute to the evaluation and further development of the course by completing an evaluation questionnaire.