Postdoctoral Scholar in Brain Tumor Imaging Lab (Radiological Sciences)

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Postdoctoral Scholar in Brain Tumor Imaging Lab (Radiological Sciences) (JPF09066)

Postdoctoral Scholar in Brain Tumor Imaging Lab (Radiological Sciences) Apply now to Postdoctoral Scholar in Brain Tumor Imaging Lab (Radiological Sciences)
Job #JPF09066

• Radiological Sciences / David Geffen School Of Medicin / UCLA

Position overview
Salary range: $70,000 - $80,000/year, depending on experience

Application Window

Open date: December 4, 2023

Next review date: Friday, Mar 15, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Sunday, Jun 30, 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 Department of Radiological Sciences at UCLA is seeking a highly motivated researcher to join the Brain Tumor Imaging Lab as a Postdoctoral Scholar. The successful candidate will work closely with Dr. Jingwen Yao and a cross-disciplinary team to develop and translate novel MRI techniques for brain tumors, movement disorders, epilepsy, and other brain diseases. The research will involve different aspects of biomarker development, including image acquisition and reconstruction, post-processing, quantitative image analysis, pre-clinical investigation, and clinical translation and evaluation.
Key Responsibilities:
• Lead independent research projects and support collaborative projects
• Design, implement, and test novel MRI sequences and analysis methods for research and clinical translation
• 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 (required at time of application)

• Ph.D. in biomedical physics, biomedical engineering, neuroscience, computer science, or related discipline
• Experience with operation of preclinical and/or clinical MRI systems
• Prior experiences and publications on MRI research
• Proficiency in software programming (MATLAB, C++, Python, etc.)
• Experience of sequence development on Bruker and/or Siemens scanners preferred but not required

Application Requirements
Document requirements

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

• Cover Letter (Optional)

• Statement of Research - previous research experience and future research interest

• Statement of Teaching (Optional)

• Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a 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.

• Reference check authorization release form - Complete and upload the reference check authorization release form

• A reprint of two representative publications - A reprint of two representative publications

Reference requirements

• 3 required (contact information only)

References will only be contacted for final candidates.

Apply link: https://recruit.apo.ucla.edu/JPF09066

Help contact: [email protected]

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 complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy.

Job location
Los Angeles, CA
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