Maximum number of students: 25
Registration is open until April 5th.
Attendees will be introduced to the basics in cell biology, machine learning and physics of infrared absorption, explained by renowned scientists in the corresponding fields. The main aim of the summer school is to provide experience in solving a complex research problem in a multidisciplinary team. Students in biology, physics and computer science will work together on a two-day project culminating in a project defense and a presentation session for early-stage researchers to share their research findings with other participants.
Following the success of the 2020 digital summer school, we have decided that the summer school in 2021 will be completely digital as well. All lectures will be given online through video, group work will be online, and we will provide help through video. We will also have a focus on social activities, to get a feel of a "regular" summer school and so that you can get to know your team mates.
Be aware that the summer school is intensive, you will need to be available from about 8:30 - 17:30* CEST every day. All activities are manditory and we expect you to participate.
As the school will happen through video, you will need a stable internet connection and a camera so we can stay connected. You should also be aware that you will need to use a video conference system and the software tool Quasar at the same time. Your computer needs to be strong enough to handle this.
Once you have registered and payed the fee, we will send you a link to the pre-course material. The pre-course includes several videos you have to watch, where each video has questions attached to it that you have to answer. You will not be able to participate in the summer school unless you pass the pre-course.
The pre-course questions should be handed in before May 16th.
Note that the pre-course material is quite time consuming. Do not put it off until the last day.
Temporary program and topics
The following topics will be covered during the summer school:
- Cell biology
- Spectroscopic methods
- Light scattering and pre-processing
- Data pre-treatment
- Analytical methods used in biology
- Basic regression, multi-block, PLSR
- Machine learning
- Deep learning
Certain topics from cell biology, machine learning and spectroscopy will be covered extensively during the summer school. However, participants are expected to have a background in mathematics equivalent to a first-year university course and an intermediate-level English sufficient to participate and be successful in learning process. Solid reasoning, ability to grasp quickly interdisciplinary relations and experience with group work is highly appreciated.
You have to be a master student or higher to attend the summer school.
- Early February: Registration opens
- April 5th: Registration closes
- April 9th: Acceptence e-mails and payment information sent out
- April 9th: Pre-courses sent out
- May 16th: Deadline for delivering pre-course questions
- June 14th - 19th: Summer school!
The summer school fee is 100 €. The cost covers course materials and administrative expenses.
We will host a couple of streams before the summer school where we will give information and answer questions. The streams will last about an hour. More information to follow.
On the last day, Saturday June 19th, we will have a mini-workshop. We encourage you to present your research through a small presentation of 10-15 minutes. If you are interested, or have questions, send us an e-mail: firstname.lastname@example.org.
Interested in the summer school? Sign up for e-mail notifications here!
We will send you an e-mail once registration opens, and generally keep you updated on important information about the summer school.
*Times might change at a later date.