美国普林斯顿大学神经科学数据分析博士后职位
美国普林斯顿大学神经科学数据分析博士后职位
NEUROSCIENCE DATA ANALYST
Princeton University
Job Description
Department
Princeton Neuroscience Inst
Category
Research and Laboratory
Full-Time / Part-Time
Full-Time
Name of Lab
BRAIN CoGS
Application Deadline
10/8/2020
Overview
The Princeton Neuroscience Institute has a Data Analyst position available in the Brain Registration and Histology Core Facility of BRAIN CoGS. 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. BRAIN CoGS is a collaboration between the labs of Carlos Brody, Mark Goldman (UC Davis), Jonathan Pillow, Sebastian Seung, David Tank, Sam Wang, and Ilana Witten.
The individual in this role will support BRAIN CoGS laboratories as a data analyst. They will collaborate with graduate students, postdoctoral research fellows, and software developers in the participating laboratories regarding experimental design, acquisition of histological and anatomical data, and analysis. The principal activities are to acquire microscopy data sets from neural tissue, and then perform post-experiment alignment, reconstruction, and analysis of the images.
Responsibilities
Quantitative analysis of fluorescence signals, including automatic cell recognition using deep learning and custom Python scripts.
Computer-based volumetric reconstruction of whole brain images
Computer-based registration of whole brain images to a standardized atlas
Operating fluorescence microscopes (light-sheet, epi-fluorescence/slide scanner)
Assisting with tissue sample preparation and clearing protocols (iDISCO, uDISCO, SHIELD, etc)
Qualifications
The ideal applicant will be an energetic, self-directed person with previous experience in imaging data analysis (using Python or MATLAB), microscopy and animal tissue handling. 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.
REQUIRED
A bachelor's degree in a science, engineering or computing-related field
Python or MATLAB programming experience
Experience with microscopy data - either through image acquisition or data analysis
HIGHLY PREFERRED
Wet lab and/or tissue handling experience
Experience working in a research environment
Familiarity with Linux/Unix
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW