Sort by
Refine Your Search
-
, and environmental factors associated with diabetes incidence, prevalence, complications, and trends. Learn and apply advanced statistical and machine learning methods, including cluster analysis and
-
watershed modeling Experience with analysis of geospatial data and time series data Experience with machine learning and statistical learning Experience with large, diverse datasets Familiarity with
-
,” an autonomous environmental robot outfitted with GPS, a downward-facing camera to capture images of surficial sediment, and an onboard machine learning model for image processing. SandHound will be capable
-
Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
-
Must be a U.S. Citizen Preferred Skills: Experience with MATLAB Familiarity with emerging technologies including instrumentation, computer modeling & simulation (e.g. Matlab, CFD, and/or other), and the
-
measurements and remote sensing data products, in a unified data processing workflow to recover models of subsurface water content variation. Learn about the use of physics-informed neural networks developed by
-
managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
-
environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include
-
Linux environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives
-
platforms (specifically Microsoft Power Automate/Cloud Flow and SharePoint) and the ability to integrate Artificial Intelligence models (e.g., Gemini, Machine Learning APIs) to process unstructured data and