-
to improve early detection, predict disease outcomes, and develop targeted interventions that enhance patient care and long-term kidney health. Bioinformatics and Biomarker Analysis in Kidney Disease
-
analysis using Matlab, Python, etc. • Some experience using software to automate experimental controls. Required Documents: (1) Curriculum Vitae (including completed degrees, list of publications, research
-
working experience with healthcare data (e.g., EHR, clinical text, imaging, omics). Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g
-
organic methods for functional small molecules and polymers. The goal of projects in the Huang lab is to tackle critical societal challenges through precise structural control, efficient manufacturing, and
-
organic methods for functional small molecules and polymers. The goal of projects in the Huang lab is to tackle critical societal challenges through precise structural control, efficient manufacturing, and
-
with healthcare data (e.g., EHR, clinical text, imaging, omics). Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases
-
), the Centers for Disease Control and Prevention, the Robert Wood Johnson Foundation, the Indiana State Department of Health, and the Department of Veterans Affairs. The departments’ faculty are national and