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Dmitriy Dligach

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PhD Position in AI for Clinical Decision Support and Addiction Care Loyola University Chicago in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Funded RA position supported by NIH-funded research.

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Country

United States

University

Loyola University Chicago

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Keywords

Computer Science
Psychology
Artificial Intelligence
Natural Language Processing
Medical Science
Salud Pública
Clinical Decision Support
Large Language Models
ML

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About this position

PhD position open in the lab of Dmitriy Dligach at Loyola University Chicago for NIH-funded AI research focused on large language models and clinical decision support tools for addiction care.

The project includes work on retrieval-augmented generation (RAG), fine-tuning, on-policy training methods, and related machine learning / NLP approaches. This is a funded RA opportunity, making it attractive for students seeking research training in applied AI for healthcare.

Eligibility highlights: a background in machine learning and natural language processing is required, and HuggingFace experience is a must. The post also notes that, due to visa/immigration constraints, only applicants already in the United States can be considered.

Research areas: Computer Science, Medical Science, Public Health, Psychology, AI for healthcare, LLMs, clinical NLP, addiction treatment support.

No deadline or application portal is mentioned in the post. If you meet the requirements, reach out directly to the lab/poster for next steps.

Funding details

Funded RA position supported by NIH-funded research.

What's required

Background in machine learning and NLP is required, with HuggingFace experience a must. Applicants must already be in the United States due to visa/immigration constraints.

How to apply

No application portal is provided in the post. Interested applicants should contact Dmitriy Dligach directly and be prepared to discuss their ML/NLP and HuggingFace background. Only applicants already in the U.S. are eligible due to visa constraints.

More information can be found here

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