Research Fellow -Artificial Intelligence

The Department of Cardiovascular Medicine is seeking a postdoctoral fellow to support projects in Artificial Intelligence. 

The successful candidate will have experience in:

• AI
• Machine Learning
• Deep Learning
• Statistical Data Processing
• Regression techniques
• Neural Networks
• Decision Trees
• Clustering
• Pattern Recognition
• Probability theory and data science methods
• Mathematical theories underlying these tools used to analyze data
• Applies and modifies existing scripts or software applications to support data management
• Data extraction, data analysis, and AI as required 
• The candidate needs to have  experience in python and at least one deep learning library (TensorFlow or PyTorch)  
• Knowledge of healthcare data types, topics and scientific challenges and approaches is preferred.

Candidates with experience in VR\AR (using Unity) without significant experience in AI can also apply to take part in an AI-VR combined projects.

Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program.