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Postdoctoral Scholar in Machine Learning in Medicine - Los Angeles, United States - UCLA Fielding School of Public Health
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Description
Welcome to the job opportunity for Postdoctoral Scholar in Machine Learning in Medicine at UCLA
The Computational Diagnostics lab at UCLA is looking for a researcher to join as a Postdoctoral Scholar to lead and collaborate on the development of machine learning methods applied to biomedical data. This role will involve working closely with Dr. Corey Arnold and a cross-disciplinary team of faculty, staff, and trainees. Individuals with expertise in digital pathology, radiology, spatial transcriptomics, and time series modeling are encouraged to apply.
Key Responsibilities:
Cultural North Star:
The shared values of the DGSOM are expressed in the Cultural North Star, which was developed by members of our community and affirms our unswerving commitment to doing what's right, making things better, and being kind. These are the standards to which we hold ourselves, and one another.
Qualifications:
Application Requirements:
Document requirements include Curriculum Vitae, Cover Letter (Optional), Statement of Research, Statement on Contributions to Equity, Diversity, and Inclusion, Reference check authorization release form, and Misc / Additional (Optional). Two references are required.
About UCLA:
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements. Federal, state, or local government directives may impose additional requirements. The University of California is an Equal Opportunity/Affirmative Action Employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Job Location:
Los Angeles, CA