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Research Associate
University of Virginia in Charlottesville, Virginia
 
 
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Date Posted 02/05/2021
Category
Admin-Laboratory and Research
Employment Type FullTime
Application Deadline Open until filled
 
 
 
 
 

The Department of Radiology & Medical Imaging's Research Division is seeking candidates for a full-time Research Associate position.

A Ph.D. degree in Engineering, Science or related background is required at the time of hire with 0-3 years of experience in image processing. Prior experience in working with medical image data with experience in machine and deep learning is a plus. Strong math and coding background in Matlab and/or Python is required. The selected post doctor will be working on big data from cutting edge dynamic brain PET imaging projects. No prior experience in PET imaging is required. Position is for a year extendable subject to funding.

Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University.

Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of research or scholarship during the training period.

This is a restricted position; continuation is dependent on funding and satisfactory performance.

Priority review of applications will begin on February 13, 2021, but the position will remain open until filled.
 

TO APPLY:


EXTERNAL APPLICANTS: please apply through Workday at the following URL, https://uva.wd1.myworkdayjobs.com/UVAJobs , and search for requisition # R0021394.  Complete an application online and attach a cover letter, CV/resume, and contact information for three references (name, email address, telephone number, address).


INTERNAL UVA APPLICANTS: please apply through your Workday Home page, search “Find Jobs”, and search for requisition # R0021394.  Complete an application online and attach a cover letter, CV/resume, and contact information for three references (name, email address, telephone number, address).


For additional information about the application process, contact Nicole Vaughan at nsv3w@virginia.edu or Michelle Williams, Faculty Search Advisor, at mew8js@virginia.edu .

For additional information about the position, please contact Bijoy Kundu at bkk5a@virginia.edu .

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.



The Department of Radiology & Medical Imaging's Research Division is seeking candidates for a full-time Research Associate position.

A Ph.D. degree in Engineering, Science or related background is required at the time of hire with 0-3 years of experience in image processing. Prior experience in working with medical image data with experience in machine and deep learning is a plus. Strong math and coding background in Matlab and/or Python is required. The selected post doctor will be working on big data from cutting edge dynamic brain PET imaging projects. No prior experience in PET imaging is required. Position is for a year extendable subject to funding.

Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University.

Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of research or scholarship during the training period.

This is a restricted position; continuation is dependent on funding and satisfactory performance.

Priority review of applications will begin on February 13, 2021, but the position will remain open until filled.
 

TO APPLY:


EXTERNAL APPLICANTS: please apply through Workday at the following URL, https://uva.wd1.myworkdayjobs.com/UVAJobs , and search for requisition # R0021394.  Complete an application online and attach a cover letter, CV/resume, and contact information for three references (name, email address, telephone number, address).


INTERNAL UVA APPLICANTS: please apply through your Workday Home page, search “Find Jobs”, and search for requisition # R0021394.  Complete an application online and attach a cover letter, CV/resume, and contact information for three references (name, email address, telephone number, address).


For additional information about the application process, contact Nicole Vaughan at nsv3w@virginia.edu or Michelle Williams, Faculty Search Advisor, at mew8js@virginia.edu .

For additional information about the position, please contact Bijoy Kundu at bkk5a@virginia.edu .

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.


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