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Transforming Lives
The University of Miami is among the top research universities and academic medical centers in the nation, and one of the largest private employers in South Florida.
With more than 16,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the globe.
The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service.
The Department of Radiation Oncology has an exciting opportunity for a Full Time Post Doctoral Associate. The Postdoctoral Associate will support the Department of Radiation Oncology research group of medical imaging. The Postdoctoral Associate will conduct research and develop novel and practical algorithms in computer vision and image analysis to solve problems in radiation oncology, in particular to assist the clinician with automatic and semi-automatic tools that enable the interpretation and information extraction from medical images.
Job Functions
Individual hired will need to be able to function independently; to design and troubleshoot software for advanced image processing.
Development of methods for optimal extraction of information from multiparametric MRI. It is expected that the candidate will develop software for quantitative imaging methods.
Development of novel algorithms for identification of radiation treatment volumes and implementation of seamless procedures for the translation imaging findings in radiation treatment planning
Write up results for submission of manuscripts and for scientific presentations using Power Point, and other graphics software as needed.
Prepare grant proposals for submission.
Present data in laboratory meetings and other venues.
Performs other duties as assigned.
Education Requirement:
• PhD required. PhD in engineering, physics or computer science, preferred.
Knowledge, Skills, and Abilities:
• Demonstrated expertise in computer vision and medical imaging.
• Experience in scientific programming related to medical imaging and algorithm design.
• Experience developing algorithms and building solutions in fields such as medical image segmentation, registration, tracking, feature extraction, and classification.
The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.
Patient safety is a top priority. As a result, during the Influenza ("the flu") season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment.
The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.
Job Status:
Full time
Employee Type:
Staff
Pay Grade:
r5
