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Post Doctoral Scholar
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Position Number: 6036468
Location: Chattanooga, TN
Position Type: Laboratory and Research

Post Doctoral Scholar
TN, United States

Job Identification: 1514
Job Category: Research
Posting Date: 02/26/2025
Job Schedule: Full Time
Locations: 930 Madison Avenue, Memphis, TN, 38163, US

Job Description
The postdoc scholar will participate in several research projects currently funded by the Pl. Including multi-center projects to develop various machine data mining models including convolutional neural networks (CNNs) and large language models (LLMs) to analyze retinal and corneal data including visual fields, fundus photographs, optical coherence tomography {OCT) images and genetics data for automated screening, diagnosis, prognosis, and monitoring of major eye diseases such as glaucoma, macular degeneration, and keratoconus. We have access to large multi-model ophthalmic datasets as well as large single retinal ganglion cells (RGCs) dataset generated using 10x Genomics and Fluidigm technologies at UTHSC.

Responsibilities
The postdoc scholar will participate in several research projects currently funded by the Pl. Including multi-center projects to develop various machine data mining models including convolutional neural networks (CNNs) and large language models (LLMs) to analyze retinal and corneal data including visual fields, fundus photographs, optical coherence tomography {OCT) images and genetics data for automated screening, diagnosis, prognosis, and monitoring of major eye diseases such as glaucoma, macular degeneration, and keratoconus. We have access to large multi-model ophthalmic datasets as well as large single retinal ganglion cells (RGCs) dataset generated using 10x Genomics and Fluidigm technologies at UTHSC.

Qualifications
PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, or a related field.

Strong background in machine learning, data mining, statistical analysis, and computational modeling; Experience with programming languages such as Python, R or similar, as well as familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn); Knowledge of ophthalmology, diseases, or related medical fields
is preferred but not required; Excellent communication skills and the ability to collaborate effectively with multidisciplinary teams; Proven track record of research productivity, including publications in peer-reviewed journals and conference presentations.

About Us

To apply, visit https://fa-ewlq-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1514/?mode=location