Hands-On Classes 2026

On demand: Behavioural screen for molecular players in pain resolution

Responsible lecturer

Prof. R. Kittel, Dr. M. Selcho

Location

Institute of Biology, Leipzig University, Leipzig

Description

Participants will perform behavioural experiments in Drosophila to analyse molecular components involved in pain resolution, and visit the research facilities at the Institute of Biology at Leipzig University.

Additional Info: Drosophila experiments, Institute Tour. Travel costs will be covered by the KFO 5001, after discussion with Ms. Gewiß (resolvepain@ukw.de)

Aktuelle Veranstaltungen

25

Sep

25.09.2026

13:00 Uhr - 16:00 Uhr

Machine Learning - Basics and Examples

Responsible lecturer: Dr. A. Sawalma

The hands-on session will be in two parts, a short lecture about the basics of machine learning, and a hands-on session, where participants dive through pre-written simple codes covering the following aspects:

- Common machine learning models used in clinical studies

- Deep learning models

- Large language models

Basic knowledge of python is all that is needed.

Participants are highly encouraged to bring their laptops.

Weitere Informationen

25

Sep

25.09.2026

13:00 Uhr - 16:00 Uhr

RNA-Seq Essentials: RNA Isolation, Quality Assessment, and Raw Data Evaluation

Responsible lecturer: Prof. R. Blum, Dr. A. Sodmann

In this course, we will provide practical tips for RNA isolation from various materials (such as DRG, nerves, and fixed tissues), discuss RNA quality criteria, compare reverse priming strategies, test RNA sample comparability, and demonstrate how to evaluate RNA-Seq raw data prior to computational analysis.

Weitere Informationen

25

Sep

25.09.2026

13:00 Uhr - 16:00 Uhr

Machine Learning - Basics and Examples

Responsible lecturer: Dr. A. Sawalma

The hands-on session will be in two parts, a short lecture about the basics of machine learning, and a hands-on session, where participants dive through pre-written simple codes covering the following aspects:

- Common machine learning models used in clinical studies

- Deep learning models

- Large language models

Basic knowledge of python is all that is needed.

Participants are highly encouraged to bring their laptops.

Weitere Informationen

25

Sep

25.09.2026

15:00 Uhr - 18:00 Uhr

MRI analyses in pain

Responsible lecturer: Prof. P. Geha

Places available: 6

Weitere Informationen

25

Sep

25.09.2026

15:00 Uhr - 18:00 Uhr

MRI analyses in pain

Responsible lecturer: Prof. P. Geha

Places available: 6

Weitere Informationen

27

Nov

27.11.2026

13:00 Uhr - 16:00 Uhr

MEA-based electrophysiological analysis of hiPSC-derived neurons

Responsible lecturer: Dr. J. Neubauer

Places available: 6

In this workshop, you will gain hands-on experience analyzing hiPSC-derived neurons using MEA technology. Participants will compare the neuronal activity in mono-cultures and in co-culture with human astrocytes.

Additional information: Institute Tour, Introduction to micro-electrode arrays and measuring of electrical activity patterns.

Weitere Informationen

27

Nov

27.11.2026

13:00 Uhr - 16:00 Uhr

Analysis of neuronal tissue and teased nerve fibers

Responsible lecturer: Prof. K. Doppler

Places available: 6

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