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Berkeley summer course in mining and modeling of neuroscience data

Introducing the major open questions of neuroscience and teach state-of–the-art techniques for analyzing and modeling neuroscience data sets, this course is designed for students at the graduate level and researchers with background in a quantitative field such as engineering, mathematics, physics or computer science who may or may not have a specific neuroscience background. The course runs July 6-17, and is organized by members of the INCF US Node. Apply latest April 6th.

Read more and register for the course

We've been accepted as a mentoring organization for Google Summer of Code!

INCF has been accepted as a mentoring organization for Google Summer of Code, our fifth year running! Project ideas and mentors have been recruited from our community, mainly our Nodes and Programs, and range from simulators and computational modelling to tools for neuroimaging, EEG data management and connectivity analysis. Students can apply for projects from March 16th.

View the list of projects

Improve your Python!

Python is quickly becoming a standard tool for the programming neuroscientist. The INCF German Node (G-Node) is organizing the summer school "Advanced Scientific Programming in Python" together with the BCCN Munich and the Graduate School of Systemic Neurosciences, for Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. The course will be held August 31 - September 5 in Munich, Germany. Apply latest March 31.

Read more on the course webpage


INCF receives contributions from our member countries, based on gross domestic expenditures on research and development.

Karolinska Institutet and the Royal Institute of Technology are the host institutions of INCF. Further support is also received from the Swedish Research Council,
the Swedish Foundation for Strategic Research and the National Science Foundation.


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