17 condition-monitoring-machine-learning Postdoctoral positions at University of Southern California
Sort by
Refine Your Search
-
Listed
-
Field
-
, reinforcement learning, and/or wireless communications. The candidate should hold a doctoral degree in electrical or computer engineering or related fields. The successful candidate will have a strong publication
-
degree in industrial engineering, operations research, statistics, or machine learning and have a strong research record. • Qualified candidates should have prior research and publications in optimization
-
screening for criminal convictions, on all applicants after a conditional offer of employment and as a condition of employment. Please refer to the Background Screening Policy Appendix C for specific
-
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
-
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
-
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
-
learn more about these projects, click here: https://www.scienceofteachingmath.com/projects . The postdoctoral research associates will assist with developing the learning and assessment materials
-
residency and fellowship training, and from laboratory to bedside learning experiences. The school has recently received a $50 million endowment from the Alfred E. Mann Foundation to name the school and to
-
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
-
candidate will have the desire to conduct research, learn new technologies, be able to analyze and interpret results of complex experiments on real systems and to publish these results in peer-reviewed