Date and Venue
The summer school will take place from September 23-27th, 2019, at the Center for Computational and Theoretical Biology in Würzburg, Germany.
The application deadline is April 30th, and all applicants will be notified no later than May 10th.
This summer school is targeted towards students at the BSc. and MSc. level with a biological or biomedical background. Previous experience with programming and machine learning is helpful, but not necessary. After these five days, you will have gained basic skills in machine learning and AI and will be able to apply them to typical data analysis problems in biology and life sciences.
The program will consist of lectures by local and external instructors in the morning, and practical hands-on tutorials in the afternoon.
Preliminary Program (subject to change):
- Basic Data Science (linux, python, jupyter, git, singularity, cloud computing)
- Introduction to Machine Learning (classifiers, neural networks, scikit-learn)
- Building and training your first deep neural network (tensorflow/keras)
- Applications in Bioimage Analysis (ilastik, cellprofiler, U-net)
- Applications in Genomics and Industry
For the practical lessons, we will work in the digital teaching laboratory of the CCTB and use the high-performance teaching cloud of the Biology department that includes 2 Tesla P100 GPUs. Students can either use our Raspberry Pi thin clients or bring their own laptop to access the cloud instances.
We will do a raft tour on the romantic "Altmain", one of Germany's oldest transport routes, including a wine tasting. Furthermore, there will be a conference dinner in a traditional Franconian restaurant in the old town of Würzburg.
The participation fee is 400 € and includes accommodation in the Babelfish hostel (4-6 people per room) for 5 nights, all lunches and coffee breaks, the raft tour and conference dinner, and public transport within the city.
If you decide to book your own accommodation at your own cost, the participation fee is reduced to 290 €.
Instructors & Speakers
University of Würzburg:
- Philip Kollmannsberger
- Sabine Fischer
- Juan Prada Salcedo
- Jan Freudenthal
- Carl-Magnus Svensson (Leibniz-HKI, Jena)
- Anna Klemm (Uppsala University)
- Manuel Berning (MPI Frankfurt / SAP AG)