Post Doctoral Associate

University of Miami

Confirmed live 2 days ago High trust

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Work type
On-site
Location
Miami, FL
Employment
Full-time
Posted
108 days ago
Freshness
Confirmed live 2 days ago

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Similar $190k
$130k most similar roles pay here $249k

This listing doesn't post a salary. Most similar roles pay $141,900–$237,125.

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About University of Miami

The University of Miami is a private research university in Coral Gables, Florida, known for programs in business, law, medicine, marine science, and the arts. Industry: Higher Education & Research

University of Miami currently has 30 open roles on FindRole.

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TL;DR · Post Doctoral Associate

Post Doctoral Associate Full Time (Ophthalmology Department) serves as a research role within the Ophthalmology Department, specifically focusing on Computational Ophthalmology. The individual will conduct scientific research, prepare technical papers for publication, and develop advanced analytical models to support strategic decisions. Day-to-day responsibilities include developing machine learning and data mining models such as deep convolutional neural networks, Transformers, large language models, Vision Language Models, and Retrieval Augmented Generation models. The role involves analyzing electronic health record data and retinal imaging—including fundus photographs, optical coherence tomography, and genetic data—to improve the screening and diagnosis of major eye diseases like glaucoma and macular degeneration. Required technical skills include programming in Python and R, utilizing frameworks like TensorFlow, PyTorch, scikit-learn, and Keras, alongside expertise in manifold learning, unsupervised clustering, and genomic data analysis to solve complex clinical problems.

What you'll do

  • Conduct research in specific areas of study as assigned, with a focus on computational ophthalmology.
  • Prepare technical papers and research reports for publication in the scientific community.
  • Develop advanced analytical models using deep learning architectures like CNNs, Transformers, LLMs, and VLMs.
  • Create Retrieval Augmented Generation (RAG) models and agentic AI systems.
  • Perform manifold learning and unsupervised clustering to identify disease phenotypes.
  • Analyze electronic health record (EHR) data and retinal imaging for automated screening and diagnosis of eye diseases.
  • Conduct genetic and genomic data analysis to support clinical research.
  • Program in Python and R using libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.

What we're looking for

  • A PhD in computer science, computer engineering, data science, or a related field is required.
  • At least two years of experience in AI, which can include time spent during doctoral studies.
  • At least two years of experience in biomedical data analysis, preferably in vision and ophthalmology.
  • Proficiency in Python and R programming with knowledge of deep learning libraries like TensorFlow, PyTorch, scikit-learn, and Keras.
  • Experience developing advanced AI models including CNNs, Transformers, LLMs, VLMs, and Foundation Models.
  • Ability to analyze large datasets including electronic health records (EHR) and retinal imaging data.
  • Knowledge of genetic and genomic data analysis.
  • Strong communication skills for preparing research reports and technical papers for publication.

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