EMBO Practical Course : Scientific Programming and Data Visualisation

There are still a few places left, register today! Deadline for registration has been extended and closes Jan 31.

EMBO Practical Course : Scientific Programming and Data Visualisation for Structural Biology

We are pleased to announce our practical course " Scientific Programming and Data Visualisation for Structural Biology " offered at the newly constructed Advanced Training Center, EMBL, Heidelberg, Germany from May 5-7, 2010.

The course is designed primarily for structural biologists (scientists from other disciplines are welcomed to apply). The goals of the course is to allow students to learn and master computational skills that are frequently required in less routine projects, and to learn methods of data visualization. Our very own mekentosj will provide a track on Cocoa programming tools on OSX for Mac and iPhone.

Three (3) parallel tutorial tracks will be offered (you can only select one):
Molecular Visualization with Maya.
Scientific Programming with Python,
OS X Programming.
As part of this course each participant will initiate a project relevant to their own research area, using the newly acquired skills. Attendees are also invited to present a poster (describing their research), that would benefit from molecular visualization or new software tools. There are several fellowships available!

http://www.embl.de/training/courses_conferences/course/2010/APP10-01/programme/

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And the OSX programming part

And the OSX programming part will be given by me ;-)

OS X Programming

I noticed that :-)

Looks like an excellent course.

Looks very good!

hi-

This looks very good, wish I could be there! Hopefully after it is over you can post some more info., text, pictures of the presentations, pictures of you, etc. :-)

thanks!-

-lance

Extended deadline

Good thing the deadline was extended, I just submitted my letter of motivation. Would love to be there!

@Pascal So are you

@Pascal

So are you there?
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The goals of the course is

The goals of the course is to allow students to learn and master computational skills that are frequently required in less routine projects, and to learn methods of data visualization.
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