Sort by
Refine Your Search
-
to improve both predictive accuracy and biological interpretability. The PhD research fellow will primarily focus on developing data mining methods such as network analysis in 3D genome regulation
-
discovery. This position is funded by a National Institutes of Health (NIH) grant focused on unlocking the biosynthetic potential of Clostridial bacteria, a poorly understood but exceptionally rich
-
, storage conditions, and cryo-EM screening data. Mining this comprehensive dataset will enable the training of specialized AI models, ultimately allowing automated and data-driven optimization of cryo
-
, storage conditions, and cryo-EM screening data. Mining this comprehensive dataset will enable the training of specialized AI models, ultimately allowing automated and data-driven optimization of cryo
-
faculty, the Postdoctoral Researcher will drive research at the intersection of health data science, multimodal AI, digital twins, computational phenotyping, and responsible AI. PhD must have been
-
background in health data science, bioinformatics, or artificial intelligence to join the Uterine Health Research Lab. This position offers a unique opportunity to develop and deploy AI-powered analytics