Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
collection, quality control, analysis and report generation. Lead and manage research projects and work together with junior members to complete data processing and analysis following specific timelines. Lead
-
of our product development teams building applications within the St. Jude Cloud ecosystem, including the large-scale data sharing application, Genomics Platform (https://platform.stjude.cloud
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
-
the next phase of fieldwork and write-ups. 2/ Supporting the harmonization of survey instruments (household-, community leader-, and child survey instruments) and the development of new measurement tools
-
framework based on linear stability analysis within the ALE approach to capture fluid-structure instabilities in a compressible, turbulent flow. 2. Providing predictive insights and confirm destabilization
-
Scheduled Hours 40 Position Summary Assists in developing and conducting research projects, including experimental design, data analysis, and documentation of experiment results. The bioinformatics
-
analysis, equipment evaluation, protective device coordination, harmonic distortion, and arc flash studies for the University’s electrical distribution systems. Recommend settings for electronic and
-
literature to accomplish assignments, and should have mastery of a range of experimental techniques and data analysis specific to their area of expertise. The Postdoctoral Program supports investigational and
-
, documented collaboration Multi-species ortholog mapping and annotation harmonization for integrative genomics analysis Publication-grade visualization using ggplot2 and ComplexHeatmap Emerging leadership
-
develop federated methods which can handle heterogeneous and inconsistent medical data. This involves harmonization of data from different hospitals (without having all data in one place), developing new