10-17 August 2019
Center for Systems Biology Dresden
Europe/Berlin timezone

Computational data analysis, modeling, and simulation are becoming as indispensable to the life sciences as mathematics is to physics. This course provides a glimpse into this fascinating, interdisciplinary world.

This school provides project-based research experience in a number of scientific fields at the intersection of biology and computer science. Whether you are interested in spatiotemporal modeling, bio-image analysis, virtual reality, machine learning, biomedical data science, or bioinformatics, you will gain insight into developing and applying new computational tools to answer biological questions. To keep up with the changing times, the course contents have been fully reconceived this year, involving the many directions in research pursued at the CSBD.

The Summer School is intended primarily for Master and Diploma students with a computational/quantitative background in Computer Science, Physics, Engineering, Mathematics, or related areas. For graduates of other disciplines, we assume Bachelor-level knowledge of mathematics and computer programming (independent proficiency in at least one programming language).

In addition to lectures and project work, we host a series of evening talks by distinguished scientists from various fields related to systems biology. These talks are intended to provide an overview of the breadth of the field also beyond the specific topic of the school. Learn more about the lecturers & presenters.

Lectures and group work will take place at the Center for Systems Biology Dresden and the Max Planck Institute for Molecular Cell Biology and Genetics. Accommodations for participants will be at Guesthouse Mezcalero in Dresden's vibrant Neustadt neighborhood.

Starts
Ends
Europe/Berlin
Center for Systems Biology Dresden
Pfotenhauerstr. 108

The course will accept 25 participants. We assume participants will have at least Bachelor-level knowledge of:

  • calculus (multi-dimensional integrals, partial derivatives, vector calculus, differential operators, differential equations)
  • physics (classical mechanics and diffusion)
  • chemistry (kinetics)
  • computer programming (independent proficiency in at least one programming language)

No prior experience or knowledge in biology is required, but a strong interest in modeling biological systems is expected. Master and Bachelor level students will receive preference. PhD students and postdoctoral researchers are welcome to apply, but may be given lower priority.

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