EUROPIN Summer School on Drug Design – Vienna

September 10 – 15, 2023

Poster Session

The subject of your poster must match the topic of our Summer School on Drug Design, which can be summarized as "Pharmacoinformatics". For example, students usually present the topic of their bachelor's, master's or doctoral thesis, a publication they are currently writing or have recently published, or a project they are currently working on.

Please upload your poster abstract before the deadline by filling out the following form. Deadline for poster abstract submission was July 31, 2023.

General Information

There will be a poster competition at the Summer School on Drug Design 2023. The best 3 posters will be honored. All poster presenters will get a participation certificate.

The format of the posters should be portrait (100 x 70 cm).

By mid August 2023, we will inform you if your poster is accepted or not.

Instructions for ECTS Credtis

The workload of a univie: summer/winter school is measured in ECTS credits. Use of the ECTS (European Credit Transfer and Accumulation System) at European universities should ensure that it is possible to transfer credits from one university to another (also across borders) and enhance the level of transparency.

Enrolled Master and PhD students who actively participate during this summer school at the University of Vienna will be credited 4 ECTS. The following criteria have to be fulfilled:

  • Filling out the "Student Enrollment" during registration,
  • presenting a poster during the poster session and
  • writing a 1-page abstract after the summer school about your experiences and achievements accomplished during the Summer School on Drug Design 2023 and how they will impact your research.

Students who do not meet the above mentioned criteria will receive a “Certificate of Attendance” without ECTS credits.

Contact us

If you have any questions regarding the EUROPIN Summer School on Drug Design, please don’t hesitate to contact us.

EUROPIN – a structured, highly interconnected training through research PhD program on the efficient and innovative use of information technologies and computational approaches in the drug discovery, design and development processes.

Organised by

Pharmacoinformatics Research Group 

Following a holistic pharmacoinformatic approach we combine structural modeling of proteins, structure-based drug design, chemometric and in silico chemogenomic methods, statistical modeling and machine learning approaches to develop predictive computational systems for transporters and ion channels.

The validation and optimisation of the obtained in silico models by strong links to experimental groups is an integral part of these activities.

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