Sort by
Refine Your Search
-
which the brain is assembled during embryonic development, as well as how development is disrupted in neurodevelopmental disease and co-opted during brain evolution. We employ a multifaceted strategy to
-
disease dynamics, uncertainty quantification, and large-scale simulation. The successful candidate will contribute to the development of an HIV epidemic simulation that integrates dynamic social and
-
program focused on development of machine learning tools and their applications to medical imaging. Key Responsibilities: The Post Doctoral Associate will apply their technical skills toward the
-
ophthalmic imaging and artificial intelligence. As the Machine Learning Research Data Analyst, you'll support the development, validation, and implementation of machine learning models using multimodal
-
additional support from junior faculty and senior postdoctoral fellows, within a highly collaborative and methodologically driven research environment. The position emphasizes the development and
-
disparities and improve population health. This position also provides mentorship, scientific collaboration, professional development, and opportunities to prepare for independent funding and leadership in
-
. Christine Eyler in the Department of Radiation Oncology. Our laboratory is dedicated to understanding the fundamental mechanisms that drive cancer development, treatment response, and therapeutic
-
intellectual development of a research project under guidance from Dr. Di Talia. Current topics of interest for the lab include early embryogenesis in insects, adult appendage regeneration, and
-
of m6A and RNA-binding proteins in brain development, neural function, and neurological disease Development of next-generation technologies for spatial epitranscriptomics Discovery of novel m6A readers
-
development and application of advanced computed tomography methods, with a focus on photon-counting CT, quantitative image analysis, and machine learning. The position will involve work across