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Cedars-Sinai Postdoctoral Scientist - Fan Lab - Magnetic Resonance Imaging (MRI) in Los Angeles, California

Under the direction of Dr. Zhaoyang Fan, the Fan Laboratory in the Biomedical Imaging Research Institute conducts research on the development and clinical applications of novel magnetic resonance imaging (MRI) techniques with efforts focused on several clinical applications including neurovascular disease, peripheral vascular disease, coronary artery disease and cancer. For more information, please visit https://www.cedars-sinai.org/research/labs/fan.html .

As a Postdoctoral Scientist in the Fan Lab, you will perform a variety of MRI research studies under Dr. Fan’s direction. You will participate in experiment protocol design, data collection, and data analysis, and your radiology expertise will be utilized to interpret and analyze MRI images for quantitative measurements by using in-lab programs or commercial software. You will be expected to publish research results in peer-reviewed journals and give presentations at conferences. There will also be opportunity for grant applications at the trainee level.

Educational Requirements:

  • Doctorate in biomedical engineering, electrical engineering, computer science, imaging, mathematics, physics, biophysics, medical physics, or a related field within the last five years

Experience:

  • Outstanding academic research record as evidenced by high-impact journal publications and conference presentations

  • A solid understanding of MR physics and extensive experience in pulse sequence development, image reconstruction and post-processing, and imaging study of human subjects and animals would be advantageous

  • Prior experience in neurovascular MR, cardiovascular MR, or body MR and/or experience with Siemens pulse sequence programming environment are desirable, but not required

  • Excellent communication and written skills in English

Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.

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