7 posts tagged with science by nicolas léonard sadi carnot.
Displaying 1 through 7 of 7.
How would you test whether the affinity of a tetramer for a particular ligand proceeds stepwise, i.e. assuming that the tetramer can bind one ligand per subunit, how would you test whether an initial binding event made subsequent binding events on the same tetramer more likely? I can't think of a good way to isolate a single molecule in solution, so any experiments would have to be on a aggregate population which would make stepwise cascades in affinity impossible to measure. Maybe if the measurement was really really time sensitive? Thoughts?
I'm a couple years off finishing a PhD that's been about half biochemistry and half electrophysiology at a top-ranked Australian university. The academic career path is definitely open to me - I've got a decent number of publications, heaps of teaching experience, blah blah blah - but I'm unsure that it's what I want to pursue. [more inside]
I'm a baby Australian scientist trying to earn experience and cash prior to embarking on a PhD, but landing a relevant job is turning out to be a bit of an ordeal. [more inside]
What's some great new bioscience themed art? The more hands-on and interactive the better. Mapping genetic sequences to procedurally generated pictured is all good and well, but does seem a bit trite and decorative these days. What's out there these days saying something in the intersection between wet labs and the gallery?
Biologists, biochemists, and microbiologists: how did you choose your field? I'm coming to the end of my undergraduate research year, and hope to apply for doctoral study for 2013, but am finding it very hard to settle definitively on a field and a lab to target. If you were a bright young thing about to start your research career in earnest, where would you hope to end up? [more inside]
I'm a final year biochemistry undergrad, and through my internships / reading of papers / etc, I've become keenly aware that I'd like to be more conversant with computer science approaches to the field. The sheer volume of approaches and strategies in bioinformatics is a little overwhelming, though: where's a good place to start focusing my attention? I have strong maths skills, but my programming ability is limited to pecking out simple instruction sets in Python or Matlab, and my research work thus far has mostly been on isolating and characterising protein markers from serum / urine / etc.
How can I get the most out of my science internship? [more inside]