Connectionists: Postdoctoral positions in physiological and network analyses of Alzheimer's mouse models
Hasenstaub, Andrea
Andrea.Hasenstaub at ucsf.edu
Tue Sep 20 14:31:28 EDT 2022
Postdoctoral position: The role of hearing loss in cognitive impairment and Alzheimer’s disease pathology
A full-time post-doctoral position is available in the Coleman Memorial Laboratory of at the University of California, San Francisco. The appointment is funded by a newly awarded NIH R01 grant to study potential contributions of hearing loss to cognitive impairment using a mouse model of Alzheimer’s disease. The project combines computational analyses of cell and network interactions with large-scale in vivo physiology, brain-wide histological analysis, and behavioral training. The principal investigator for the project is Dr. James Bigelow, with co-investigators Drs. Andrea Hasenstaub and Christoph Kirst. To apply, please send a CV and brief statement of interest to james.bigelow at ucsf.edu. Applications will be considered on a rolling basis.
Minimum qualifications:
* PhD in neuroscience, physiology, cell biology, biomedical engineering, or related field.
* Strong written and oral communication skills demonstrated by peer-reviewed publications and conference presentations.
* Interest and ability to compete for extramural funding.
Preference will be given to candidates with experience in one or more of the following areas:
* In vivo physiology, especially acute and/or chronic recordings using multichannel electrode arrays (e.g., Neuropixels). Specific experience within the auditory cortex or hippocampal complex is desirable.
* Histological techniques, especially tissue clearing and brain-wide histological analysis using iDISCO or related pipelines.
* Behavioral assessment in Alzheimer’s model mice (e.g., spatial learning and memory)
* Hearing assessment via auditory brainstem response measurements.
* Computational techniques for assessing functional interaction among neurons within and between brain regions (e.g., Granger causality, ensemble detection).
* Analyzing large, complex datasets using MATLAB or Python.
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