|Advertising Ends on:||Extended Until Position is Filled|
|Advertising Started on:||Wednesday, April 11th, 2018|
|College:||Carver College of Medicine|
|Salary:||$47,484.00 to Commensurate|
|Full/Part Time Status:||Full Time|
Postdoctoral Researcher - Machine learning in human genomics
Department of Psychiatry
We are seeking a postdoctoral fellow to join the laboratory of Jake Michaelson, PhD, in the department of psychiatry at the University of Iowa.
Name and Contact Information of References
Letters of Interest
To start the Online Application process for this position, click the "Apply for This Position" button located below the Contact Information.
|Contact:||Jacob J Michaelson - email@example.com|
25 South Grand Avenue
Iowa City, IA 52242
Department URL: https://michaelson.lab.uiowa.edu/
The University of Iowa is an equal opportunity/affirmative action employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, national origin, age, sex, pregnancy, sexual orientation, gender identity, genetic information, religion, associational preference, status as a qualified individual with a disability, or status as a protected veteran. The University also affirms its commitment to providing equal opportunities and equal access to University facilities. Women and Minorities are encouraged to apply for all employment vacancies. For additional information on nondiscrimination policies, contact the Coordinator of Title IX and Section 504, and the ADA in The Office of Equal Opportunity and Diversity, 319/335-0705 (voice) or 319/335-0697 (text), The University of Iowa, 202 Jessup Hall, Iowa City, Iowa, 52242-1316.
Persons with disabilities may contact University Human Resources/Faculty and Staff Disability Services, (319) 335-2660 or firstname.lastname@example.org, to inquire or discuss accommodation needs.
Prospective employees may review the University Campus Security Policy and the latest annual crime statistics by contacting the Department of Public Safety at 319/335-5022.