Women and Career in Natural Science – equal opportunity: Insights behind the CV

Event Date: 12.05.2022:

As a scientist, we often work in a cross-cultural setting. Our research groups are international, we collaborate around the globe, and most of us will spend part, -or even all- of our career abroad. We can and should feel privileged to work in such a diverse and intercultural work environment. But these cultural and -of course- also individual differences can lead to all manners of misunderstandings. These misunderstandings can lead to a broad variety of undesired consequences, such as failed collaborations, frustrations, feelings of hurt, anxiety and anger, culture shock and missed opportunities for knowledge transfer. Cultural awareness is the first step in sidestepping these undesired consequences. During this course you will improve your cross-cultural understanding, so you can tap into the full potential of your intercultural teams.

Event Date: 18.04.2023 + 19.04.2023:

This workshop is for PhD candidates and others who are either publishing in international journals, or soon will be. The modules therefore explore how scientific writers can satisfy the expectations of international, English-speaking journal editors, and boost their chances of publication. Participants will learn the techniques they need to write well structured papers which communicate the value of their research with impact and clarity.

Event Date: 01.03.2023:

A seminar around strengths & resource efficiency and leadership in science Contents: – Being able to define and name self-efficacy and strength orientation in one’s own profile – Develop leadership competence and leadership profile – To work out own patterns of success in the leadership context.

Event Date: 02.05.2022 – 03.05.2022:

Python is considered an easy language to learn because it has a clear and concise syntax. The language has an open, community-based development model supported by the non-profit Python Software Foundation. It also has an extensive standard library and numerous packages in the Python Package Index such as Numpy, Pandas, SciPy and Matplotlib.