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While my academic background is in the socialsciences and more specifically educational studies, I believe that regardless of your discipline, socialsciences or naturalsciences, the research process, structurally speaking, is more or less the same. What you need is access to academic search engines.
The general idea of synthetic biology is that we can engineer microbes to do things that naturally occurring microbes don’t do,” he says. Each time we make changes, we test what is and isn’t successful, and use that data to help improve designs until we can successfully engineer microbes to produce the desired product,” he says.
And indeed particularly in chemistry and engineering it’s often been in the background, justifying all the computations routinely done using entropy. There had been precursors of steam engines even in antiquity, but it was only in 1712 that the first practical steam engine was developed. Lazare Carnot died in 1823.
The results (which ultimately rely on all sorts of specific engineering) are remarkably “human like”. Most of our existing intuition about “machinery” and “automation” comes from a kind of “clockwork” view of engineering—in which we specifically build systems component by component to achieve objectives we want.
And one of the great feelings of power has been that even in fields—like the socialsciences—where there haven’t really been much more than “verbal” models before, it’s now appeared possible to get models that at least seem much more “scientific”. In some ways, ruliology is like naturalscience.
Dr Joanna Leng , from the University of Leeds in the UK, is a research software engineer who designs and develops the software that allows scientific imaging devices to be used to their full potential. TALK LIKE A RESEARCH SOFTWARE ENGINEER. One area of research computing that is in high demand is research software engineering.
I experienced collaborations between biology, engineering and socialsciences with a playful attitude. For my PhD, I switched to information processing in biological systems, and have been fascinated by how the brain interprets sensory information ever since. My PhD in computational and neural systems was a formational time.
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