Postdoctoral Researcher in Machine Learning for Biomedical Applications

2 weeks ago


Los Angeles, California, United States University of California - Los Angeles (UCLA) Full time
Position Overview

We are seeking a highly motivated Postdoctoral Scholar to join our team at the University of California - Los Angeles (UCLA) in the Computational Diagnostics lab. The successful candidate will lead and collaborate on the development of machine learning methods applied to biomedical data.

Key Responsibilities

* Lead independent research projects and support collaborative projects.

* Author scientific publications and grant proposals.

* Supervise trainees and maintain research infrastructure.

* Comply with UCLA guidelines for lab safety, animal research, and human subject research.

* Develop and update standard operating procedures and best practices for research projects.

* Communicate effectively with team members, present findings and progress both verbally and in writing.

Qualifications

Basic qualifications: PhD in engineering, computer science, or related field. Additional qualifications: Expertise in the development and application of machine learning methods. A track record of publications as first author. Experience in image analysis, preferably with medical images.

Application Requirements

Document requirements: Curriculum Vitae, Cover Letter (Optional), Statement of Research, Statement on Contributions to Equity, Diversity, and Inclusion, Reference check authorization release form, Misc / Additional (Optional). Reference requirements: 2 required (contact information only).

About UCLA

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California is an Equal Opportunity/Affirmative Action Employer. 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.

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