Author: Ann-Kristin Flieger
Insights behind the CV: Rebecca Waldecker (15.10.2021, 12.30-14.00)
You are warmly invited to join the informal career talks by Rebecca Waldecker! Successful scientists share their experiences as a woman in natural science and tell the story behind their official CV. After the talk there will be enough time for informal discussion and networking.
Target audience are (female) natural scientists from our university.
Date: October 15, 2021
12.30-14.00
VSP 1, room 0.04
[InGrA] Webinar on Data Protection: Theory and Practice (13.00-14.00 on October 6, 2021)
Welcome, Sebastian!
Sebastian Kawa joined our iRTG! He is working in the physical chemistry group with Dr. Jonas Warneke on the project “Molecular ion deposition for the generation of peptide and polymer surface layers”.
Effective Visual Communication of Science (November 25-26, 2021)
You will learn to effectively communicate your own scientific ideas and results by applying best visual communication practices to your research communication. You will understand the principles and useful design approaches used by experts. You will get actionable advice and feedback on your own pre-submitted materials. It is an immersive webinar, structured, easy to follow, memorable, useful and fun.
Date: November 25 (9.00-16.30) + November 26 (9.00-13.30)
Location: Online workhop via zoom
Group size: 20
[iGS-FP] Planning the completion of your dissertation (November 2-3, 2021)
[MLU] Innovation Toolkit: User Research, Agile Teams & Future Thinking (November 15-16, 2021)
Doctoral Students Seminar (October 19, 2021)
Interactions of single polymer chains and Amyloid fibrils in a thermophoretic trap
by Stephan Sydow
and
Ion Soft-landing: Introduction in Preparative Mass Spectrometry to Generate Polymers
by Sebastian Kawa
date: October 19, 15.00
hybrid seminar: Open Space wunderbar (Gießerstr. 18, Leipzig-Plagwitz) + zoom
chair: Marthinus
[BuildMoNa] ATM: Deep Learning/Machine Learning (September 16-17, 2021)
Aims
The course aims at two aspects of machine learning.
The first goal is an introduction to statistical mechanics of learning, which aims at describing the typical learning behavior of neural networks, discussion of the generalization performance of strongly overparametrized neural networks. Information field theoretic description of ultrawide neural networks. The second aim is to give an introduction to machine learning techniques and its applications in natural sciences. It will include fields of image recognition, time series analysis and reinforcement learning with examples and applications of neural networks in fluid mechanics.
Continue reading “[BuildMoNa] ATM: Deep Learning/Machine Learning (September 16-17, 2021)”Introduction to mass spectrometry (October 5-7, 2021)
Aims
This advanced training module addresses doctoral students in chemistry, physics, biophysics, and related fields without much prior knowledge or experience in mass spectrometry. It introduces the basic theoretical and technical concepts of mass spectrometry and will provide hands-on experiments in the labs.
