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UCLA Fielding School of Public Health Postdoctoral Scholar in the Glaucoma Advanced Imaging and Artificial Intelligence Laboratory in Los Angeles, California

Postdoctoral Scholar in the Glaucoma Advanced Imaging and Artificial Intelligence Laboratory Apply now to Postdoctoral Scholar in the Glaucoma Advanced Imaging and Artificial Intelligence Laboratory

Job #JPF09598

  • Ophthalmology / David Geffen School Of Medicin / UCLA

    Position overview Position title: Postdoctoral Scholar in the Glaucoma Advanced Imaging and Artificial Intelligence Laboratory

    Salary range: The posted UC salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/index.html) set the minimum pay determined by rank and step at

    appointment. See Table 23. The salary range for this position is $$64,480 - $77,327.

    Application Window

    Open date: July 8, 2024

    Most recent review date: Wednesday, Jul 31, 2024 at 11:59pm (Pacific Time)

    Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

    Final date: Saturday, Aug 31, 2024 at 11:59pm (Pacific Time)

    Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

    Position description

The Glaucoma Advanced Imaging and Artificial Intelligence Laboratory (https://www.uclahealth.org/departments/eye/research/research-laboratories/glaucoma-advanced-imaging-laboratory-gail) at the Stein Eye Institute invites applications for a post-doctoral fellowship starting September 1st, 2024. Candidates should have a PhD in Statistics or Biostatistics, expertise in Bayesian computing and related software, spatial or longitudinal modeling, and data management. Ophthalmological experience not required. Responsibilities include leading Bayesian computing tasks, developing Bayesian longitudinal models and statistical methods, co-supervising graduate student researcher(s), and data management. The post-doctoral fellow will present at scientific meetings and write manuscripts for peer reviewed publication. A two-year commitment is required.

Qualifications

Basic qualifications

Ph.D. in Statistics or Biostatistics, expertise in Bayesian computing and related software, spatial or longitudinal modeling, and data management.

Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter (Optional)

  • Statement of Research

  • Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a faculty candidate’s past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our EDI Statement FAQ document.

    (Optional)

  • Misc / Additional (Optional)

Reference requirements

  • 3-5 required (contact information only)

We will only contact references with your permission.

Apply link: https://recruit.apo.ucla.edu/JPF09598

Help contact: aidansmith@mednet.ucla.edu

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.

For the University of California’s Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.

For the University of California’s Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.

Job location

Los Angeles, CA

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