Workshops

Data Analysis with Python

In the workshop “Data Analysis with Python” basic programming techniques of the programming language Python are taught. The workshop is therefore aimed at all those who have little or no experience in programming and/or want to get to know the programming language Python. The aim is to equip the participants with the necessary tools for automatic processing of their measurement data. This includes reading, cleaning, structuring, analyzing and displaying the data.

General elements of programming (variables, loops, conditionals, functions, files read/write) are taught and directly implemented by the participants using small examples. In the second section, central Python modules are introduced, which solve complex tasks with little effort (Analytical Geometry – Data Reading, Writing, Visualization – Statistical Modeling).

The course is interactive and the participants will program as much as possible on the computer themselves.

Workshop-Leader:  Emanuel Ehmki

emanuelehmki_360Emanuel Ehmki studied Chemistry at the University of Innsbruck. The Subject of his Master’s thesis was chemoinformatics at the department of theoretical chemistry. At the University of Hamburg he works on Algorithmic Molecular Design for his PhD. For two years he was leader of a team and board member at the European Young Chemists´ Network and since January 2019 he is associated member of the board in the division Computers in Chemistry of the German Chemical Society.


 

Make Science beautiful again – graphic design for scientists

Learn the basic about color theory and color systems as well as when to use the correct image format (e.g., vector and pixel format). Also a short session about typography gives you an insight on how types can be used as part of your design. Learn how to present your data in a barrier-free way or how to use alternative tools for the representation of complex datasets. Make the most of your graphs in publications, conference posters and talks to deliver the message to your audience in the best way possible.

Workshop Leader: Verena Resch

Verena Resch studied chemistry and biochemistry at the University of Graz. During her high school years, she interned at a large advertising agency. The skills she learned there were put to good use in her PhD and Postdoc time, when she designed multiple journal covers, posters and presentations. Scientific Design combines both of her skills perfectly.

Make_science_beautiful_again.pdf

 


 

Industrial Scale-Up

Process Chemist Dr. Philipp Selig presents his workshop on industrial scale-up.
Find out how to properly scale up lab reactions and syntheses to an industrial level. Chemical reactions work differently on a larger scale because of aspects like heat transfer and mass transport. If a proper scale-up is not performed, the results can be catastrophic. To avoid expensive mistakes for you and your employer, these aspects have to be taken into account.Learn what is considered GMP (Good Manufacturing Practice, how Quality Control Systems impact work in the pharmaceutical industry, and what the future holds for process chemistry.

Workshop-Leader: Dr. Philipp Selig

Philipp Selig studied Chemistry at the TU Munich and selig_720completed his PhD in the field of photochemistry and natural product synthesis in 2008. After postdoctoral studies at Yale University, he managed an independent academic research group at the RWTH Aachen from 2012 to 2015, focusing on organocatalysis and guanidine chemistry. Since 2015, he works as a Process Chemist in the pharmaceutical manufacturing division of Patheon, Part of Thermo Fisher Scientific at Linz, Austria.

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