Company Name:
Princeton University
Approximate Salary:

Location:
Princeton, New Jersey
Country:
United States
Industry:
Other
Position type:
Unspecified
Experience level:
Education level:

Research Specialist I


Princeton University

Requisition # 2017-8256
Department Princeton Neuroscience Inst
Category Research and Laboratory
Date Posted 16 hours ago
Full-Time / Part-Time Full-Time
Application Deadline

Overview

The Princeton Neuroscience Institute has a Research Specialist position available to work for the Collaboration on Systems-level Mechanisms in Cognition (CoSMiC). This multi-laboratory project seeks to understand how multiple brain regions work together to carry out cognitive processing, using mice as a model system for mammalian brain function.

This primary responsibility of this position is to provide support for the efforts of multiple laboratories. A principal project is understanding how multiple brain regions work together in working memory and decision-making. This project is part of a collaboration with Carlos Brody, Mark Goldman (UC Davis), Jonathan Pillow, Sebastian Seung, David Tank, Sam Wang, and Ilana Witten.

The ideal applicant will be an energetic, self-directed person with previous research experience and animal tissue handling; should be comfortable with computer-based analysis and the handling of giga/terabyte-scale data. This is a one-year position with the possibility of renewal based on funding and performance. A commitment of at least two years is preferred.



Responsibilities

The principal activity is to perform post-experiment alignment and reconstruction of brains from imaging and after genetics experiments. Duties will include:

  • Collaboration with graduate students or postdoctoral research fellows in the participating laboratories to harvest brains after imaging, optogenetics, or electrophysiology experiments.
  • Clearing (uDISCO), fluorescence labeling, and light-sheet microscopic reconstruction of expression patterns.
  • Computer-based registration of brains using the Allen Brain Atlas.
  • Quantitative analysis of fluorescence signals, including automatic cell recognition using custom Python scripts.


Qualifications

A bachelor's degree in a science or engineering field is required, along with previous research experience. A degree in natural science, engineering, or computing-related field is highly preferred. A master's degree is a plus.

Applicants should apply online and include a cover letter, a CV, and a list of at least two potential referees, and also email this information to Sam Wang ([email protected]). Review of applications will continue until the position is filled.



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