My colleague Andreas Dräger at the University of Tübingen in Germany has a postdoc opening in his group. They do computational systems biology. Deadline is Dec. 31, 2023. Excellent German language skills are a prerequisite. For more information, please refer to the official job posting: https://uni-tuebingen.de/de/171129
The gist here is to model a genetic network as a dynamical system with two attractor states (in this case, it's leukemia and the states are apoptosis on-versus-off).
I'm looking for leads to papers that apply this type of approach to model genetic networks (not neural circuits) that have something a bit more to do with the brain; ideally not cancer.
(This is not my field). Huntington's? Fragile X? Anything neuron related?
"Our findings redefine the lower limit of eukaryotic gene expression noise and uncover molecular requirements for achieving ultralow noise, which is expected to be important for vital cellular functions."
I have a two publications to my name, mostly for being attached to the group that actually wrote and edited the papers. (I did write software based on some of the ideas in the paper, but they weren't originally my ideas.)
OK. Whatever. What I'm curious about is, I'm on #ResearchGate and, lately, I get pretty regular notifications of new #citations on one of these papers, about once a month. It's a total of 80 since September 2018. Is this typical?
It's not a bad paper: I think it's actually quite good. Still, it's not "groundbreaking"? It's about an approach to #SystemsBiology where we use computer simulation that integrates multiple models to validate our overall understanding of an organism. Is that what folks are into these days?
Anyway, I just want a hint, because I'm not likely to actually read all these papers that cite us, if this is, like, paper mill output or are other folks legitimately taking on the ideas and building on them.