Brain, biology, biophysics, computational neuroscience, brain-comp interface

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The discussion centers on the desire to transition from traditional mechanical engineering research to more dynamic systems, particularly in the field of biological modeling. The individual, nearing completion of an engineering M.S., expresses frustration with current research topics that focus on mechanical applications like strengths and stresses, and instead seeks opportunities in areas such as brain imaging and biomedical engineering. They highlight a keen interest in developing computer models that can interact with physical systems, potentially through innovative technologies like multielectrode arrays or new imaging techniques. A suggestion is made to explore brain imaging research, which often combines engineering principles with biological applications, and reassures that a lack of biology coursework can be addressed over time as the focus remains on the engineering aspects.
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Here's my background:

Completing an engineering M.S. this year. I've done a lot of programming and building systems of ode/pde, neural networks, finite & discrete element models, hydraulic networks.

I like coding and computer models very much. My problem is the research topics are uninspiring...mostly mechanical engineering applications looking at strengths, stresses, displacements, pressures, etc.

I really want to work in more dynamic systems. I dream of exploring modeling and engineering in biology...but unfortunately I have not had the opportunity to take a bio-related course in university yet.

Something that really interests me are ways of getting a computer model and real physical system to communicate, perhaps by multielectrode array, MEM swarm, new imaging technique, etc.

But these are just dreams right now...so I need some practical guidance on what is out there and where to start. Thank you in advance.
 
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Hi,
why don't you look into Brain Imaging? It's typically research that's done within the context Biomedical Engineering.
Some of the research can involve modelling Brain function.
A lack of biology background can be excused as one typically focuses on the engineering part of it and the knowledge gaps can be filled in with time.
 
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