German website for the prediction of the R-value

The expertise of our doctoral student Laura Helleckes and her colleague Michael Osthege from IBG-1 enables them not only to evaluate microbial growth, but also to predict epidemiological data, more precisely the reproduction number of the Covid-19 spread. On their website, they now provide daily analyses of the German R-value. This website is based on the predictions already made on the US website, where both also contributed their experience in workflow automation. Read the full interview with the two Jülich PhD students here.

What hurricanes and nasal breathing have in common

Many patients who have nasal surgery do so in the hope of being able to breathe better. But the results are often disappointing due to a lack of knowledge about how air flows through the nose. At HDS-LEE, Mario Rüttgers is now applying data science methods to reveal the small hurricanes that occur in the nose when we inhale. He wants to use these insights to help make future nasal surgeries more successful.

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Where the neurons are firing

Christian Gerloff completed his degree in electrical engineering. Now, he’s tracking down signals from one of the most mysterious and complex systems in existence. As a doctoral candidate at our graduate school, Gerloff conducts research that unravels more hidden secrets of the human brain—thanks to data science methods.

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Hyperparameter Optimization

The course teaches you the basic knowledge of hyperparamter optimization such that an appropriate set of numerical parameters for a learning algorithm can be found. The acquired knowledge is deepened in a two-hour practical session using Jupyter Notebooks. Please register at by October 16, 2020. For more information, please have a look  here and here.