Artificial Intelligence/Machine Learning for Healthcare:

Key Skills

Aartificial intelligence, Computer Vision (CV), Machine learning techniques, Mathematical modeling, Natural Language Processing (NLP), US Healthcare Recruitment

Job Description

We at the HITI (Healthcare Innovations and Translational Informatics) lab pride ourselves in working collaboratively with multiple researchers to bring innovation into healthcare. Our broad themes of work are on datasets curation, testing of machine learning models, developing AI models for computer vision and natural language processing, and exploring fairness, explainability and bias of algorithms. With 6 core faculty in radiology , perception/psychology studies and computer science, we push the boundaries of our research work to ensure we support the AI ecosystem to grow and develop AI products that are clinically useful.

We are seeking a highly motivated Ph.D./postdoc candidate to work in one of the following areas of Artificial Intelligence/Machine Learning for Healthcare:

Human-machine interaction for decision making

Use of knowledge representation and data curation for ML in Healthcare

Computer Vision in Radiology imaging. Natural language processing in Radiology reports and clinical notes.

We look favorably on applicants who can demonstrate a knowledge of computer vision, machine learning, data curation using semantic web, ontologies, knowledge graphs, and who have strong programming and mathematical skills.

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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