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Postdoctoral Research Associate (Cardiac Radioblation) - Radiation Oncology - 49123
University of Washington in Seattle, Washington
 
 
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Date Posted 10/05/2020
Category
Admin-Laboratory and Research
Employment Type FullTime
Application Deadline Open until filled
 
 
 
 
 

Post Doc Instructions

Please do not submit an application to this posting.  To apply for this postdoctoral research opportunity, follow the directions below in “Applicant Special Instructions”.



Department Name/Job Location

The position is in the Center for Noninvasive Cardiac Radioablation, which is a collaboration between the John T. Milliken Department of Internal Medicine, Cardiovascular Division and the Department of Radiation Oncology. This position is for the Medical School Campus.



Essential Functions

The Washington University School of Medicine, Center for Noninvasive Cardiac Radioablation has an opening for a post-doctoral research associate in the Computational Radiotherapy Lab in the Division of Medical Physics. The Center for Noninvasive Cardiac Radioablation is a collaboration between the John T. Milliken Department of Internal Medicine, Cardiovascular Division and the Department of Radiation Oncology, formed to enable safe and effective noninvasive treatment of life-threatening heart rhythm disorders through advancements in laboratory, clinical, and population research, and outreach to centers around the world. The successful candidate should be interested in developing and applying innovative image analysis tools on clinical data to better understand and guide cardiac radioablation planning, delivery, and assessment. Projects include the use of magnetic resonance imaging, computed tomography, and other imaging modalities for guiding cardiac radioablation for the treatment of ventricular tachycardia. The successful candidate should possess a strong background in computational image analysis and scientific programming. Individuals interested in pursuing an academic research career or a career in image analysis, data science, or medical physics are encouraged to apply. Training opportunities in preparation for a medical physics residency are available in the department for qualified and interested candidates.



Required Qualifications

  • Ph.D. in medical physics, physics, engineering, computer science or a related field.
  • Strong background in image analysis, image registration and/or image segmentation.
  • Strong scientific programming skills in C/C++ or Python.
  • Familiarity with image analysis tools, such as ITK and VTK.
  • Familiarity working with high-performance computing environments, including GPU platforms for high-throughput analysis of images.
  • Familiarity in machine learning, artificial intelligence, and/or computer vision.
  • Ability and interest in working in small, interdisciplinary teams with other technical scientists and clinicians.


Salary Range

Base pay commensurate with experience.



Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.



Benefits

This position is eligible for full-time benefits.  Please click the following link to view a summary of benefits:  https://hr.wustl.edu/benefits/ .



Applicant Special Instructions

Interested candidates should send a cover letter (brief) and curriculum vitae to Dr. Geoffrey Hugo at gdhugo@wustl.edu .



EOE Statement

Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.


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