biologists

The vision is that biologists won't need their own labs anymore - they'll go to a website.

A key focus of the lab is to train a new generation of computational biologists.

The biologists will flock to the second one; they have long been underserved by the DOE supercomputing community.

Something like a 3D printer for budding biologists to gather themselves around...but nothing really comes to mind.

As someone who works with biologists this might rekindle some interest in perl in bioinformatics which seems to be waning.

New tools for biologists in the last 20 years have strongly accelerated the field.

We're hiring molecular biologists, computational biologists, software engineers and data scientists.

I thoght the section about computational biologists using PageRank to identify important species wihtin an ecosystem was cooler, myself.

Evolutionary biologists call it Punctuated Equilibrium: the idea that progress comes in spurts.

I've blamed money - chemists have a longer history of making money from their research than biologists.

The only real problem in this field is that bench biologists tend to rush head first into sequencing without involving IT early in the planning process.

Haven't biologists got a lot of evidence by now?

Physicists collaborate a lot with "nanotechnology" people and biologists.

Biology is undergoing a similar transformation from simple "this animal looks kinda like this one" to genomics classification, which is revolutionizing the tree of living things used by biologists to organize living things.

(Sidebar: I won't say there might not be substantial alterations to the research itself; for a parallel example in a different field, there are evolutionary biologists who are now choosing research topics specifically to provide more compelling evidence for evolution, rather than explore the unknowns of evolution, due to the rise of the "intelligent design" debate here in the US.