“Writing is an essential part of the successful researcher’s skillset. However, writing at the standard necessary to publish in peer-reviewed journals can be challenging. This two-day writing workshop was for researchers who wished to improve their academic writing skills in English.
This practical workshop focused on the structure of an English paper and abstract and how to improve the style and readability of an academic text. Participants were encouraged to bring along a sample of their current writing that were the basis for peer review on the second day of the course. In addition, participants had to bring at least two examples of research articles from their field (written by native English speakers if possible).”
Trainer: Anne-Lesley Weiling
Category: Soft Skills WiSe 2021/22
[RAL] Design Basics for Scientists (January 27-28, 2022)
The workshop covered key principles of design and professional tools for effective communication. More information and registration here.
[RAL] Science Communication on Social Media for Beginners (January 11-12, 2022)
Participants received the basics of communicating science on social media. With a focus on Twitter and tips for other social media channels.
More information and registration here.
[InGrA] Find a Job in Germany’s Industry – Job Interviews and Contract Conditions (February 02, 09 and 17, 2022)
[InGrA] Find a Job in Germany’s Industry – Job Search and Application (January 12 and 26, 2022)
[InGrA] Good Scientific Practice (February 21+22, 2022)
[BEAM] Women in Science – Talk and Power – Who Gets Heard and Why (online, 31.1.2022 + 7.3.2022)
Workshop on communication styles and strategies to empower women in science.
Continue reading “[BEAM] Women in Science – Talk and Power – Who Gets Heard and Why (online, 31.1.2022 + 7.3.2022)”[InGrA] Next Level – E-Poster Design (February 15-16, 2022)
[BEAM] Statistical literacy and R (Januar 13-14, 2022)
Our partner graduate school BEAM offered an online complementary skills workshop on statistics and R. It covered the following topics:
Management of R objects, workspace, Help system, R packages, data types, Working with GUI RStudio, importing and exporting of data, Importing/exporting foreign formats such as SPSS datasets or .*cho, Summary statistics, dealing with missing data, Modify data set structures, Extracting partial data sets (split, submit, which), Working with tables: Row sums, column sums, Frequency tables, Graphical representation of frequency tables, Special table functions, Overview on graphic types, Layout and graphic design, graphics output, Algorithms in Data Science, Data import, processing, modelling and visualization, Overview about the classification of algorithms in Machine Learning.
The workshop was held online in English.