Previous courses offered for PhD students
Workshop - Women in Science - Talk and Power - Who Gets Heard and Why
2-day workshop, 05 October and 26 October 2020
Instructor: Betty Boden
This workshop will examine the ‘rules of the game’ determining success or failure in a largely male-dominated environment. Routine examples from the working environment will demonstrate those communication strategies and behaviours – typically seen as masculine or feminine – that can drive a career up or down.
Participants will be given strategies to use these differences to their advantage and tactics to avoid the pitfalls so as to be able to manoeuvre around career hurdles, and try them out in active simulations of examples from the workplace. They will also learn how to parry likely buzzwords, clichés and put-downs, and discuss effective strategies in thought and action to counter tricky career situations.
The workshop will take place online in an interactive format.
Workshop - Python for data science
3-day workshop: 28 September 30 September and 02 October 2020
Instructor: Peter Kocmann
The course is organized for the PhD students members of the Graduate school of CRC 1078 and aims at providing better knowleadge of modern ways for efficient data analysis. It will take place online during three days (28 September, 30 September and 2 October 2020) from 9 am to 4 pm. The participants will be introduced in data preparation, data visualization and basic statistics (parametric and non-parametric correlation analysis, extreme- and multivariate analysis for outliers) as well as in collaborative analytics with Plotly.
Workshop - Debate training for the awareness for gender related topics
2-day workshop, 20 - 21 January 2020
Instructor: Farid Schwuchow
This workshop is part of the “Workshop Series: overcoming challenges related to diversity in science” organized by IGK CRC 1078 Protonation Dynamics in Protein Function and iRTG CRC/TRR 227 Ultrafast Spin Dynamics and is open to all genders.
Workshop "Team Dynamics" organised explicitly for the PhD students in the SFB 1078
Date: February 3, 2020, 10 am - 3 pm
Instructor: Betty Boden
A specialist grasp of the academic subject is all too frequently no longer sufficient in today’s global economic climate. The workshop can serve as an introduction to different approaches to work known as work preferences and also provide some practical simulation in giving and receiving constructive criticism.
- Introduction to Team Management Systems
- Eight different perspectives in approaching work — the role preferences
- Exploration of what constitutes a balanced team
- Theory and practice of receiving and giving constructive feedback
Form of instruction:
- Instructor input
- Short presentations
- Plenary discussions
- Experiential exercises
Bioinformatic Tools for Biology and Biophysics
8-day course, 19 - 28 June 2019
by Prof. Rob Burnap, Oklahoma State University
The course enables students to utilize bioinformatics approaches and software for the analysis of biomolecular structure, function, and evolution. This course aims to be a broad-scoped and "hands-on" introduction to solving common problems of bioinformatics, particularly in relation to protein structure analysis. It is primarily aimed at students of biology and biophysics wishing to receive practical training in the following topics: molecular genetic foundations of protein structure and evolution, amino acid and DNA sequence alignment scoring systems, and the utilization of existing software tools to discover and interpret molecular function and variation. Additional select topics will include protein family analysis, mapping patterns of linear sequence conservation to corresponding 3D structures, and utilizing web-based comparative genomics tools. The course will involve hands-on use of readily available software including PyMol (structure visualization), some coding (Python, file manipulation), JalView and MEGA for sequence and phylogenetic analyses, and publicly available computational resources of sequence analysis and structure prediction using homology modeling.