Date
5 Feb 2025 09:00 - 7 Feb 2025 17:00
Location
Hambourg, Germany
Host university
Universität Hamburg (UHH)
Mode
Physical
WP
WP 3
Target groups
PhD students,
Post-docs
Duration
3 days + 2 travel days
Reference code
EUG2_T3_6_0054
Type of event
Workshop
Recognition
Certificate of participation
Language
English
Recruitment of participants
Qualitative Assessment
Number of open spots
30
Evaluation criteria
100% - Survey
Isced fields of study
05 - Natural sciences, mathematics and statistics,
06 - Information and Communication Technologies,
09 - Health and welfare
This 3-day workshop around the theme Machine Learning for Biomedical Applications is designed for PhD students or postdocs with intermediate level computational background and prerequisites of good python/other programming skills as well as a basic understanding of ML.
The workshop aims to explore the application of machine learning in biomedicine taking into consideration current research explorations and the vision for what is to come in terms of clinical diagnostics, precision treatments, and health monitoring. Within this context, participants will be exposed to various topics of machine learning to understand how they are being applied to specific biomedical challenges and further to understand how machine learning models are deployed into products with real users.
The main focus of the workshop will be a hands-on practical project that allow participants to work in a team environment (5-6 participants/team) on a particular problem which can be tackled within a 2-day time frame, using ML methods applied to biomedical data.
Participants will be assigned to one of the following project teams (preferences will be taken into consideration but cannot be guaranteed):
- Mathematical modeling of single-cell/multi-omics data of inflammatory diseases
- Drug response prediction based on gene expression data
- Clinical diagnostics from microscopy image analysis
- Using Large Language Models to build neural networks and deep learning applications
- Representation learning for multimodal images.
Participants will present the results of their projects on the last day with all participants and instructors present for engaging and inspiring discussions.
The selection of participants will take place in the third week of December. Notifications will be send out before Christmas.
Important note: Registration is two-fold. Apart from registration via this website, please also submit the following Microsoft Forms survey to complete your registration:https://forms.office.com/e/2Q4unarUsR
If you do not answer the survey, your application can not be taken into consideration.
