Connectionists: Image Analysis Engineer position at the Salk Institute

Uri Manor umanor at salk.edu
Mon Jun 7 15:43:48 EDT 2021


Hi everyone!
We are seeking a new Image Analysis Engineer to join us at the Salk Institute's Advanced Biophotonics Core. Experience or a strong interest in machine learning are a strong plus. You can read the paper of our previous Image Analysis Engineer here in Nature Methods<https://www.nature.com/articles/s41592-021-01080-z>. Please email me at umanor at salk.edu<mailto:umanor at salk.edu> if you are interested. More info below:

WAITT ADVANCED BIOPHOTONICS CORE
Job Opportunity – Image Analysis Specialist
The Waitt Advanced Biophotonics Center has been established at the Salk Institute for Biological Studies as a state-of-the-art research hub to provide advanced and emerging imaging modalities to enable unprecedented insights into the inner workings of cells, tissues and organisms. We are seeking candidates in the field of computational image analysis to serve as an Image Analysis Scientist for the Biophotonics Core Facility.

The Image Analysis Scientist will have a principal responsibility to collaborate with the other light and electron microscopy researchers in the Biophotonics Core and the Salk Institute to provide specific expertise for developing custom computer algorithms for complex and novel analyses of raw imaging data, computer data management and developing algorithms for microscopy operations. The Image Analysis Scientist will also develop and publish novel imaging and image analysis techniques (including machine learning models) in collaboration with the Core Director and Salk faculty. The Image Analysis Scientist will apply existing image processing software to 2D and 3D images and videos, and will also integrate data across different platforms (e.g. correlative EM). Finally, under the supervision and training of the Core Director, the Image Analysis Scientist will become familiar with the microscopes used in the facility and develop expertise in using the equipment to acquire imaging data optimized for image analysis. Along with the Core Director, the Image Analysis Scientist will train Salk scientists on how to properly acquire high quality quantitative microscopy image data. This is a multi-faceted job that involves the following components:

•     Image Processing & Data Analysis - With the support of the Core Director, the incumbent will participate in the collaborative development of custom image data analysis and algorithm solutions.

•     Research Design & Participation - aiding Director and independently assisting users in design of imaging experiments. Educate facility users in the use of facility instrumentation and methods used therein for optimal acquisition of imaging data

•     Data Collection & Presentation - collecting and managing data and helping to prepare data for publication & presentation.

•     User Training - guide and assist Salk researchers in the use of existing image acquisition and processing software.



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To Apply: Send CV to umanor at salk.edu<mailto:umanor at salk.edu>

Uri Manor, Ph.D.

ASSISTANT RESEARCH PROFESSOR
DIRECTOR

WAITT ADVANCED BIOPHOTONICS CORE

PH (858) 453-4100 x2119

E  umanor at salk.edu<mailto:umanor at salk.edu>
W http://bpho.salk.edu
Sign up for Biophotonics updates here<https://urldefense.proofpoint.com/v2/url?u=http-3A__lists.salk.edu_mailman_listinfo_bpho-2Dusers&d=CwMGaQ&c=WO-RGvefibhHBZq3fL85hQ&r=ndYFn6yn-BBEeEOTJy3i9Vdc1Zp7o7UDm7paRHTfdmA&m=VBLWlEpQzvZaiwOCcktLsl10KYoSDLsHNeAnRfOAjDY&s=bEa6lJiUIhYKEw2CAJ0_X-pX4ulvI0MCa-j_P33H15U&e=>.
Please report any publication that used BPHO Core resources appropriately: Waitt Foundation and Core Grant applications NCI CCSG (CA014195) and NINDS Neuroscience Center (NS072031).
Salk Institute for Biological Studies

10010 N Torrey Pines Rd • La Jolla, CA 92037

WWW.SALK.EDU<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.salk.edu&d=CwMGaQ&c=WO-RGvefibhHBZq3fL85hQ&r=ndYFn6yn-BBEeEOTJy3i9Vdc1Zp7o7UDm7paRHTfdmA&m=VBLWlEpQzvZaiwOCcktLsl10KYoSDLsHNeAnRfOAjDY&s=MC-F6qOXIs2561fqO7vV7n5I4WlpjNtnVoi8Ubw7sNE&e=>









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