6 big-data-and-machine-learning-phd Fellowship positions at University of California Los Angeles
-
tumors using high-throughput sequencing technologies. Develop, optimize, and manage bioinformatics pipelines for processing and analyzing large-scale sequencing data (e.g., whole exome sequencing, RNA
-
to learn and master CAPS computer software such as PNC and other software as needed (Preferred) Strong interpersonal skills - Required Demonstrated ability to work as part of a mental health team in
-
protocol support for trauma, obstetric and transplant patients; evaluations for platelet refractoriness. The core of the learning comes from serving as part of our transfusion medicine consultation team
-
protocol support for trauma, obstetric and transplant patients; evaluations for platelet refractoriness. The core of the learning comes from serving as part of our transfusion medicine consultation team
-
increasing responsibility in cytopathology sign-out as they acquire experience and participate in teaching pathology residents, medical students, and cytotechnology students. They also gain experience with
-
systems (EHRs) throughout medical practice that was promoted and accelerated by the HITECH Act of 2009, and the more general advances in data generation and analysis, there is a critical need in clinical