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Job Hxzuoypwmgaie6

InternApplications Closed

Prof Richard Smith

Unknown Organization
Chicago, USA
Apply by Jan 31, 2023

Application deadline

Jan 31, 2023

Job location

Job location

Prof Richard Smith

Geocoding

Chicago, USA

Geocoding is still running and results will appear soon.

Source: legacy

Quick Information

Application Deadline

Jan 31, 2023

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job location

Job location

Prof Richard Smith

Geocoding

Chicago, USA

Geocoding is still running and results will appear soon.

Source: legacy

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Job Description

The Smith lab is seeking a team members to conduct exciting research in human neurodevelopment and models of neuronal activity in the prenatal brain. Interested applicants can expect to work in an environment that promotes autonomy and all the resources to develop and expand the several ongoing research projects of the lab. These include, but are not limited to, questions relating to human brain development, human disease modeling (using high throughput approaches), and therapeutics. Current NIH funded projects are examining ion flux and biophysical properties of developing cell types in the prenatal brain, specifically as is relates to childhood diseases.

As a trainee you will have to opportunity gain expertise in several state-of the art approaches widely used to interrogate important aspects of neurodevelopment, including human stem cell cerebral organoid models, single cell sequencing (RNA/ATAC), high-content confocal microscopy/screening, ferret model of cortex development and hiPSC derived neuronal models (excitatory, dopamine, inhibitory). Additional physiology approaches include, 2-photon imaging, high-throughput electrophysiology, patch-clamp, and calcium/voltage imaging.

Please visit our website for details about our research, www.rsmithlab.com

Requirements

  • No experience necessary. Individuals with previous experience analyzing large datasets (including single cell
  • genomic
  • neurophysiology data)
  • or a desire to apply artificial intelligence and machine learning approaches to emergent neuronal activity would fit well in our lab. Applicants should have a desire to work at the intersection of molecular and computational approaches and/or electrophysiology.
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