-
Developing models to represent structure in networks using low dimensional manifolds Modeling demographic and health trends in low-resource settings Developing a decision-making framework for policy decisions
-
for tissue preparation and multiplexed imaging workflows. Assist in developing novel analytical pipelines or work with computational scientists to interpret complex spatial and single-cell datasets
-
multidisciplinary approach, spanning basic biology and translational medicine using mouse models and patient samples, tackles complex questions with profound implications for human health. Projects are available
-
. Experience with high-throughput molecular biology assays. Experience with complex functional experiments. Background in machine learning, AI, or data integration for genomic datasets. Familiarity with gene
-
complex diagnostic and behavioral challenges. The fellow will also play a central role in major state-funded initiatives that align with their career aspirations. Clinical and research supervision