Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.
JOB DESCRIPTION: Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.
Our lab focuses on modeling complex clinically relevant systems using a variety of techniques including machine learning, network theory and game theory. Specifically, we seek to build, test, and utilize predictive models that improve outcomes for diseases in the head and neck. We are looking for a post-doctoral candidate to lead one of two projects:
1. We seek to use voice as a marker of disease. Specifically, laryngeal cancer is one of the few cancers where the morbidity (or disease specific death) is increasing despite advances in treatment protocol. One of the drivers of the high morbidity in laryngeal cancer is the dearth of early detection options. As nearly all patients with laryngeal cancer have changes in voice, we seek to use machine learning to identify cancer specific voice changes in a sea of a voice changes from benign processes like the common cold. We seek advance acoustic analysis and convolutional networks provide a model that will be deployable to edge devices like smartphones.
2. We seek to bring objective measures to the very subjective task of laryngeal endoscopy interpretation. Laryngeal endoscopy, or laryngoscopy, is an critical aspect of the head & neck physical examination. It is the gold standard for the diagnosis of all laryngeal pathology including laryngeal cancer. While the task of performing laryngeal endoscopy is straight forward, the interpretation of and ultimate diagnosis from these examinations requires years of dedicated training and expertise. We seek to democratize and improve the accuracy of laryngeal endoscopy exams but apply machine learning models to endoscopic videos. We seek to track motion of anatomic structures, estimate the size of lesions using depth estimation techniques and automatically identify pathology using computer vision.
MINIMUM QUALIFICATIONS: A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.
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