10 machine-learning research jobs at University of Southern California

Postdoctoral Scholar - Research Associate (USC Schaeffer Center)

Fellowships in health policy, health economics, and health services research with a specific focus on machine learning and data science applications in health economics and outcomes research (HEOR) and

Postdoctoral Scholar - Research Associate

analysis, expertise in multi-omics data integration, and working experience with computational modeling and machine learning. The ideal candidate will be able to process and analyze high dimensional

Postdoctoral Scholar Research Associate

applied to environmental chemical exposures, type 2 diabetes, kidney disease, liver cancer, and renal cancer. The ideal candidate will be open-minded, eager to learn, and enthusiastic about engaging in our

Postdoctoral Scholar - Research Associate

of genomic, epigenomic, and transcriptomic data processing and analysis, expertise in multi-omics data integration, and working experience with computational modeling and machine learning. The ideal candidate

Postdoctoral Scholar Research Associate

integration, and working knowledge of computational modeling and machine learning. The ideal candidate will be able to analyze high dimensional sequencing data, perform network-based analysis (e.g. , WGCNA) and

Postdoctoral Scholar - Research Associate

of gerontology: https://gero.usc.edu The Irimia Laboratory leverages neuroimaging, neurogenomics, and deep learning to study the aging brain in health and disease, particularly in neurodegenerative conditions like

Postdoctoral Scholar - Research Associate

processing, imaging, and machine learning to analyze data and help with aggregation, harmonization, and dissemination of our datasets to the research community. More specifically, they will be able

Postdoctoral Scholar Research Associate

randomized controlled trial of a mindfulness-based mobile program, a longitudinal survey study examining substance use and mental health outcomes, and a longitudinal study implementing machine learning

Postdoctoral Scholar - Research Associate

tissue samples. The ideal candidate will have prior experience in the analysis of single-cell transcriptomic datasets and is eager to learn and develop new spatial transcriptomics approach

Postdoctoral Scholar Research Associate

in bioinformatics) Background and work knowledge in scientific computing, algorithms, and machine learning or statistics is required Familiarity with R or Python, and the Unix (Linux) environment is