computational

We’re looking for a computational scientist with an outstanding track record to join our computational team and help lead our analysis efforts.

In particular, it completely ignores computational complexity: it gives equal weight to all (computationally) simple explanations (eg.

Help us bring computational sophistication to curing diseases in a way that's only recently become possible.

We’re looking both for people with machine learning expertise, and for people with computational biology/chemistry expertise.

Non-programmers can already create printed pages (pretty) and spreadsheets (computational), so with better tech they could create the web as well.

That brings the total system efficiency way down from what the actual computational components spend.

If characters are purely rational computational entities, it doesn't really matter what their backstory is, what their motives are, or anything else.

Just imagine the trove of data you could pull from existing information sources if you had unlimited analytical time and computational power?

Also it is true that computational approaches will play a big role [2].

It's very roughly speaking, the computational versus the syntactic view of logic...

A precise definition could probably be cobbled together using computational complexity.

Pachter's book, Algebraic Statistics For Computational Biology is fairly accessible.

Or the "Structure Data File" format I often deal with in computational chemistry.

We already have computational power on desktops that would have been unimaginable not that long ago, not to mention GPUs, but look how shoddy the scientific computing ecosystem is (there are exceptions, but in general it's "not good").

Computational power is not sufficient for whole brain emulation.

However, I do have an interest in Bioinformatics/Computational Biology.