Students with interest and skills in computation and quantitative subjects will address the emerging questions in biology dealing with the mechanistic comprehension of living processes and the interpretation of big amounts of data.
The combination of coursework, the development and application of computational methods to biological questions, in-house seminars, and national and international conferences, etc. form the basis of this education.
The program’s themes include:
- Applied mathematics
- Computational neurosciences
- Developmental biology
- Digital epidemiology
- Genomics and functional genomics
- Machine learning
- Neural data science
- Protein design
- Structural biology
- Systems biology
The EPFL provides substantial hardware infrastructure and computational expertise to operate at the forefront of computational and quantitative biology.
Computational study of transcription factor binding sites
Thesis Directors: Prof. B. Deplancke, Dr Ph. Bucher Computational and Quantitative Biology doctoral program Thesis Nr. 7795 To join the videoconference, please contact directly the speaker
With: Romain Fernand Pietro GROUX
Place and room: Videoconference
Category: Thesis defenses