This presentation is a good think-deep-later for anyone in this area, some quotes are fantastic and many points are well focused, others I can't agree. Must watch and think.
I like computer generated graphics, but if can be generated by real data and can improve some insight I say: WOW look this! Last day I saw Michael Ogawa's works about how some codes had an evolution, I think he is using the data captured in the CVS, parsed and input to create a really amazing animations. He worked with Eclipse, Python, PostgreSQL and Apache, which are good examples of open source projects with many releases and people coding. Eclipse required HD because the enormous data. The videos: Eclipse HD Python PostgreSQL Apache From: SlashDot
I found this text,copy and paste because it's an advice and must be in every biological laboratory. ADVICE FOR POTENTIAL GRADUATE STUDENTS We currently have room in the lab for more graduate students. But before you apply to this lab or any other, there are a few things to keep in mind. First, be realistic about graduate school. Graduate school in biology is not a sure path to success. Many students assume that they will eventually get a job just like their advisor’s. However, the average professor at a research university has three students at a time for about 5 years each. So, over a career of 30 years, this professor has about 18 students. Since the total number of positions has been pretty constant, these 18 people are competing for one spot. So go to grad school assuming that you might not end up at a research university, but instead a teaching college, or a government or industry job. All of these are great jobs, but it’s important to think of all this before you go to school
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