Sort by
Refine Your Search
-
development, validation, and implementation of artificial intelligence models using multimodal imaging and clinical datasets. What You'll Do: Data Acquisition & Management Organize, curate, and maintain large
-
federally funded studies while developing an independent program of scholarship aligned with the HEEAT Lab mission. Working closely with community partners, health systems, policymakers, and interdisciplinary
-
for postdoctoral fellows. We are seeking highly motivated candidates to join our research program in regeneration genomics. Our laboratory develops and applies cutting-edge genomics and proteomics technologies
-
interested in understanding how errors arise and compound in extended or agentic workflows, and how humans can efficiently assess and verify AI-generated work. Possible research directions include developing
-
collaborative modeling of marine mammal species distributions, with a focus on developing management-ready results and accompanying manuscripts suitable for immediate application to ongoing protected species
-
leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and
-
join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
-
insight in collaboration with Department of Medicine and Duke Cancer Institute investigators. You will develop your research skills under faculty mentorship while contributing to collaborative cancer
-
appointment. Preferred Qualifications: Experience in wet-lab research in tumor microenvironment or molecular oncology. Experience in assay development and experimental optimization. Experience in preparation
-
new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling . This position focuses on the development, calibration, and analysis of multiscale agent-based models (ABMs) and differential