CPI Academy Workshops

The main aim of this course is to teach how to approach data analysis problems with classical statistics. We focus on the intuition behind statistical methodologies rather than on "how […]

Description It is widespread for PhD students and postdocs to feel insecure about their achievements and employability outside of academia. But in many cases, it is just an understatement. You […]

Description In many companies, quality management knowledge is expected of graduates from the life sciences, but is rarely taught at universities. For this reason, this course offers an introduction to […]

Description 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 […]

Description: In our time management workshop for scientists, you´ll learn that every week has 7 days, 168 hours or 10080 minutes… a lot of time to do a lot of […]

Description This workshop is about scientific poster presentations, their design, and how to present (pitch) them well. An effective poster presentation requires a cleverly designed poster, appropriate use of language […]

Detailed workinar content overview: Proper editing of scientific images for publications and good scientific image handling practice Understanding all aspects of digital images (e.g. file formats, metadata, bit depth, histogram,…) […]

Detailed workinar content overview: Short Introduction to Fiji / ImageJ and basic functions Overview over proper scientific image file formats, metadata, bit depth In-depth practical introduction to pre-processing Automatic uneven […]

Detailed workinar content overview: Basic ImageJ macro recording of a general image analysis pipeline Basics about variables and macro command and how to use them Looping over image files, table […]

Detailed workinar content overview: Installation of different Software with pre-workshop video guide Hands-on Guided Exercises in Microscopic Image Analysis Key Concepts, Benefits and Limitations of ML in Image Analysis Training […]