News

Our HDS-LEE PIs acquired several third party funded project that are or will be closely linked to HDS-LEE. You can find an overview of this projects here.

DAAD (German Academic Exchange Service) offers twice a year the Networking Tour in Artificial Intelligence, where they select a group of outstanding young international researchers to visit the German hotspots in artificial intelligence. During the visits, the fellows get a general overview of the German AI research landscape and learn about the current funding and career opportunities in specific research areas in German academia and industry. Their main goal is to connect them to the German research community to set the base for new collaborations, extend their network, and to initiate concrete career opportunities. HDS-LEE will participate in this tour on April 30. Registration is now open. For more infromation, please have a look here.

Apply to the HIDA Trainee Network now! The HIDA Trainee Network is a Helmholtz-wide exchange program for doctoral and post-doctoral researchers whose research has a strong connection to (applied) information or data sciences. The Helmholtz Information & Data Science Academy (HIDA) financially supports up to three-month long research stays at another Helmholtz Center. Our goal is to spark collaborations between the centers and build an interdisciplinary community of data scientists. You can find more information about this summer exchange program here.

 

Christian Gerloff will participate in the HIDA summer exchange program with the Data Science Research Center at Ben-Gurion University of the Negev (DSRC@BGU) in Be’er Sheva Israel. He will work on a six-week-long project together with data scientists at BGU. In his project, an interdisciplinary team from HDS-LEE and DSRC@BGU examines geometric deep learning on large MRI datasets to enhance the classification of brain networks for potential future biomarkers. You can find more information about this summer exchange program here.

Anna Simson, Hu Zhao, Lisa Beumer, and Leonardo Rydin Gorjao have successfully applied to the HIDA trainee network and will be sponsored for a research stay at another Helmholtz Center for up to three month. During their research stay, they will gain interdisciplinary experience, learn new skills and expand their research portfolio as part of their doctorate. HIDA trainee network was established to spark collaborations between the centers and build an interdisciplinary community of data scientists. For more information about the funded projects that our doctoral candidates will perform during their research stay, please have a look here.

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 https://rtlive.de, they now provide daily analyses of the German R-value. This website is based on the predictions already made on the US website https://rt.live/, where both also contributed their experience in workflow automation. Read the full interview with the two Jülich PhD students here.

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.

View full article at www.helmholtz-hida.de

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.

View full article at www.helmholtz-hida.de

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 hds-lee@fz-juelich.de by October 16, 2020. For more information, please have a look  here and here.

HIDA visualized data to allow people to experience data science with their senses. The goal was to use the images to create access to modern, data-driven research. The artworks shown here were created by the designer Michael Schmitz based on actual data sets provided by PhD students at the six Helmholtz Data Science Schools. On our website, we use many of the images that resulted from this project.