International Max Planck Research School for Infectious Diseases and Immunology
International Max Planck Research School for Infectious Diseases and Immunology
Dates still to be confirmed
Trainer: Sabine Lerch
Location: Online
Tuesday, February 07, from 9-12 and from 2-5
Wednesday, February 08, from 9-12 and from 2-5
The aim is to provide doctoral students with tools for their specific environment characterized by a large variety of tasks, at times very high workload, the need to distinguish between the urgent and the important and to organize and motivate themselves. The focus will be on self-management, time management and project management. With an introduction to project planning, the participants receive a structuring aid for their doctoral thesis and other scientific projects. Participants quickly learn to apply new approaches and techniques to test their effectiveness. The tools have proven to make the participants’ personal approach to work more effective – both during training and later in the professional environment.
Based on participants’ feedback from the last two years, the course was slightly restructured to focus more on the time and project management tools. For more details, please see the attachment.
We particularly recommend the course for PhDs in their first and second year, but all are welcome.
Course content:
Trainer: Dr. Angelo Valleriani
Short description:
This course will cover the main methods of statistics while developing simple and effective python scripts. Implement your statistical analysis while learning Python at the same time. Hands on examples and notebooks included.
At the end of the course you will have your own Jupyter notebooks that perform the analysis of your choice, including interval estimations for means and proportions, hypothesis testing for means and proportions, sample size calculations, simple linear regression, and contingency tables.
Some practice in programming is necessary for a smooth participation. Elementary knowledge of applied statistics is a pre-requisite to participate. At the end and during the course you will receive the Jupyter notebooks derived during the lecture together with the lecture notes.
Trainer:
Desiree Dickerson, PhD
Dickerson et al.
Dates:
06.-07.03.2024 (2 days)
Short description:
Academia is an ultramarathon that we try to run as a sprint. We quickly run out of time and energy and can experience waning motivation, burnout, and a sense of failure. Although the environment certainly plays a role, we as individuals can address the way we approach academia to buffer us against stress and burnout, worry and fear, and the toxic competition we are often surrounded by. A healthier approach to research is possible!
In this workshop:
Trainer: Prof. Leonie Ringrose
Learning objectives
This intensive workshop about writing a scientific paper involves analysis of good and bad examples from the literature and detailed feedback on writing tasks performed both individually and as teamwork. At the end of the course participants will have written and received feedback on each section of a paper. They will have a “reference toolbox” of structure, syntax and vocabulary for each part of the paper. Participants will also gain skills in speed-reading, fast and effective planning, and writing scientific English to a fully professional standard.
After the course, participants can:
• Identify the structures and vocabulary in scientific articles that are appropriate for the different parts of the document (results, introduction, discussion and abstract).
• Use the correct structure and vocabulary to write the results, introduction, discussion and abstract of a scientific document.
• Give constructive feedback on structure and language in written texts of others in the group.
• Explain the concepts of register, packaging language and structure for different parts of a scientific document.
Trainer: Prof. Leonie Ringrose
Short description:
This workshop helps participants to explore and evaluate their own career and life goals. Participants develop a broad understanding of the different potential career paths after a PhD. You will have the opportunity to consider which career paths are most attractive to you and why, to improve your chances of succeeding in your plans, and to help others with constructive feedback.
After the workshop, participants can:
Full description: