Job ID: 5455

Post-doctoral position in Houston, Texas/USA

Position: Post-doctoral Position

Deadline: 31 August 2021

City: Houston, Texas

Country: United States

Institution: Baylor College of Medicine

Department: Neuroscience


The laboratory of Dr. Andreas Tolias in the Department of Neuroscience at Baylor College of Medicine is seeking research associates at the level of postdoctoral fellows or at the level of Research Assistant Professors. The research associates will work collaboratively within a multi-disciplinary research team aimed at understanding the structure, function and computations of neocortical microcircuits and to decipher the canonical algorithms they implement. The specific goals of the research associates for these positions will be to use Patch-seq and multi-patching methods to study the logic of cell type diversity in the neocortex and map out the circuit diagram of the neocortex at the level of cell types across cortical areas and species. The fellows will work closely within an exciting collaborative team combining unique expertise in single cell RNA-sequencing, Patch-seq, multi-patching electrophysiology, functional multi-photon imaging, machine learning and computational neuroscience.

The ideal applicant should have extensive experience using patch-clamp electrophysiology as their primary research tool. We prefer that you have experience with both in vitro and in vivo preps, or in vitro patching under difficult conditions (dendrites, multiple simultaneous patches, etc.). The postdoctoral fellows will also have the opportunity to develop their own project on related topics.
The projects are in collaboration with the laboratories of Dr. Rickard Sandberg from the Karolinska Institute in Stockholm, Sweden and Dr. Philipp Berens from the University of Tuebingen, Germany.
You can learn more about our research at and more specific information about the current project in recent publications from our lab

• F Scala, et al. (2020). Phenotypic variation within and across transcriptomic cell types in mouse motor cortex Nature, doi: 10.1038/s41586-020-2907-3

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