Applications from interested postdoctoral candidates with relevant background and skills are regularly sought.
Please contact Gábor Balázsi if you are interested in a position with our group at Stony Brook University, on Long Island, NY.
Email: first dot last at stonybrook dot edu
Candidates with cross-disciplinary interests are preferred at any level. Physicists interested in understanding living systems, engineers interested in controlling cells, mathematicians interested in modeling biological phenomena, biologists interested in quantitative, principles-based understanding are strongly favored.
Fields relevant to our research are: synthetic biology, systems biology, evolutionary biology, physical biology, cancer biology, bioengineering, nonlinear dynamics, stochastic processes.
PhD students interested in the lab:
1) The safest path ensuring lab membership regardless of the lab's current funding is to join the Ecology and Evolution PhD Program. TAships are available through the Ecology and Evolution Department for up to 8 semesters for all PhD students. .
2) A less certain path to lab membership (highly dependent on the lab's external funding) is to join the Biomedical Engineering PhD Program .
3) A third option, similar to the second, is to join the Applied Mathematics & Statistics PhD program, or any program related to the Laufer Center's PQB track: 
Undergraduate students interested in the lab:
Typically, undergraduates undergo a fairly long process before they can start working in the wet lab. They need to attend lab meetings for at least 1 semester and convince a senior lab member (advanced PhD student or postdoc) to be their direct supervisor and mentor. That means that the earliest time when someone may start doing experiments may be 2 semesters later - that being the best case scenario if everything works out well.
The process may be quicker for undergraduate candidates with prior experimental research experience (such as past iGEM team members ) or students with strong computational and/or mathematical skills.
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