Ph.D. in Biomedical Informatics, Computer Science, Data Science, Electrical & Computer Engineering, Applied Mathematics, or a related quantitative field earned within the past three years.
PhD must have been received within the last three years.
Generative and trajectory modeling including transformers, mixture-of-experts, reinforcement learning, simulation, and counterfactual analysis.
Multimodal NLP & Fusion, large language models (LLMs), cross-attention Fusion, vision-language transformers.
Ontological engineering, knowledge graph construction and mining, CDE development for data harmonization.
Regulatory science and explainable AI, verification, validation, uncertainty quantification, and AI evaluation framework
High-performance computing and big data analytics
Requires visual acuity and manual dexterity sufficient to operate research equipment and computer systems.
May require occasional evening, weekend, or travel commitments for research activities, conferences, and collaborative projects.
