Phd Student Position in Ai-based Drug Discovery
Vor 4 Tagen
Computational methods have become an important pillar in structure-based drug design for accelerated identification and optimization of therapeutics. In addition to more traditional, physicochemical methods, recent developments in deep learning offer new directions in computational drug discovery. In our research group, we combine the best of both worlds, i.e. data-driven deep neural networks and detailed physicochemical models.
**Your position**
**Your profile**
- MSc in the fields of Physics, Physical/Computational Chemistry, Mathematics or Computer Sciences
- Excellent knowledge in Statistical Mechanics & Thermodynamics
- Strong programming skills
- Experience in machine learning, in particular neural network concepts
- Fluent verbal and written communication skills in English
- Highly motivated, interactive team player
**We offer you**
- PhD student position
- Training into the key methods of an emerging research field
- International and collaborative research environment
**Application / Contact**
- letter (max. 1 page) highlighting motivation, experience and skills
- CV
- Diploma of Bachelor's and Master's degree
- contact details of at least two academic references
via the online recruiting platform.
Apply
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