Good scientific practice covers a substantial spectrum of scientific conduct: Dealing with data (including checking, recording, ownership and storage), the publishing process and authorship, responsible supervision, academic cooperation, conflicts of interest and dealing with conflicts. Inappropriate academic behaviour includes inventing or faking data, violating intellectual property (theft of ideas or plagiarism), and sabotaging the research of others. More subtle topics, such as skepticism, critical thinking, reproducibility, handling creativity, the danger of axiomatic assumptions and confirmation bias represent the “heart of good scientific practice”. Every scientist should have a professional understanding of all mentioned topics.

Poster sessions are an integral part of almost every scientific conference. Their purpose is to highlight research results, visualize them, and stimulate discussion. To draw your audience in, you need a crystal-clear message, 
a text format optimized for best legibility and well-chosen graphics. And above all, you need to think well through how to organize, arrange and illustrate your research content for a printed or digital poster format.

Basic rules of graphic design and layout technique will help you to present your work in a visually well-structured and compelling way. The training shows you how to present your research efficiently and provides time to put directly into practice what you have learned. 

How to find a job in the public / private sector – The Complete Package

• What are your hard strengths and soft strengths and when are they relevant in the job application process?
• How can you write a good covering letter? Techniques, theory and practice
• Here you will have the opportunity to get some feedback on a one-to-one basis with respect to your CV in English. You send your CV to the trainer who will give you personalised feedback 
• Difficult questions in job interviews in English – what are they and how can you answer them?

Each block will last approx. 90 minutes and you will have the opportunity to ask individual questions in the workshop, too. 

R has become a leading statistical programming language in data science and statistics. The R software is free, highly extensible, and allows to easily produce publication-quality plots. The aim of this course is to equip participants with the basic skills to effectively use the software R, embedded in the user interface RStudio. These skills will cover data import, processing and data exploration, graphical representations with ggplot2, basic concepts of statistical inference and linear regression. All topics will be demonstrated in working examples and practiced with hands on examples.

The course will be split in two parts. In the first two days we are going to teach the basic functionality of R, RStudio, and ggplot2. Day three and four are dedicated to the application of statistical tests, which will be extended to linear mixed-effects models.