Post Doctoral Associate

University of Miami

Quick summary

Work type: On-site
Location: Miami, FL
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

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Similar $180k

$125k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $139,225–$221,000.

Based on 240 similar postings.

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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 28 open roles on FindRole.

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At a glance

TL;DR · Post Doctoral Associate

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The Postdoctoral Researcher position at the Center for Digital Cardiovascular Innovations focuses on advancing AI and machine learning applications within biomedical engineering, specifically in coronary vessel reconstruction and stent simulation using Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD). Day-to-day responsibilities include developing predictive models from existing data, generating high-fidelity 3D anatomical models for medical simulations, and contributing to in silico clinical trials. The role requires expertise in Python, MATLAB, or C++, proficiency with machine learning frameworks like TensorFlow and PyTorch, and experience handling large medical imaging datasets securely. Ideal candidates have a Ph.D. in Computer Science, Biomedical Engineering, or a related field, along with a background in AI and biomedical applications of FEA and CFD.

Skills

Python MATLAB C++ TensorFlow PyTorch CFD FEA DeepLearning MedicalImaging DataManagement Documentation CI/CD

What you'll do

Develop AI/ML methods to enhance predictive models from CFD and FEA results for coronary vessels.
Generate high-fidelity 3D anatomical models of cardiovascular structures using advanced AI techniques.
Design and execute in silico clinical trials to test cardiovascular devices, collaborating with regulatory bodies.
Apply AI techniques to existing FEA simulations to generate comprehensive stent morphometry analysis.
Manage large medical imaging datasets securely while implementing AI models for research integrity.

What we're looking for

Ph.D. in Computer Science, Biomedical Engineering, or related field with AI focus.
Experience with CFD/FEA in biomedical applications.
Proficiency in Python, MATLAB, and machine learning frameworks like TensorFlow.
Familiarity with medical imaging processing techniques.
Experience in coronary artery disease modeling and simulation.
Previous work in clinical or medical research settings.
Strong analytical skills and proven publication record.

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