CPI Academy Workshops | Registration Desk

Please register online for the workshops on the corresponding workshop page.

IMPORTANT: If you cannot attend, please unregister 48 hours prior to the event - you will be blacklisted if you do not attend a workshop for which you have registered! The workshops are exclusive to CPI Academy members.

If you have any questions, please contact Dr. Claudia Koch.

  • Next Level productivity using AI Assistants | Webinar

    Zoom

    Transforming Science in the Era of AI In today's rapidly evolving research landscape, artificial intelligence assistants offer unprecedented opportunities to enhance scientific quality, streamline workflows, and elevate research impact. This specialized webinar delivers practical, hands-on training to integrate cutting-edge AI capabilities into your research ecosystem. In this course you´ll learn about: Foundations of AI for […]

  • From Pixels to Patterns: Applying Machine Learning Tools for Advanced Image Analysis

    Zoom

    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 Pixel Classifiers for Precise Object Extraction Applying pre-trained Deep Learning (DL) Models to Images Deep Learning-Model improvement by human-in-the-loop re-training for Non-Experts Simple customized Model Training via […]

  • How to Be More Employable in Industry | Online Workshop

    Zoom

    Most of us who complete a PhD in a science discipline will end up working outside of academia. Are you wondering what working in the private sector is really like? How do you find these jobs? Do you feel confident that you can impress an industry hiring manager when you describe the very specialized research […]

  • Think statistics! with R | Online Workshop

    Zoom

    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 to run a t-test with R" (which we will also learn, by the way).   Topics: - Sampling theory: obtaining information about a population via […]